tomzhang/ECCV2022-Papers-with-Code-Demo

收集 ECCV 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

ECCV2022-Papers-with-Code-Demo

收集 ECCV 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

欢迎关注公众号：AI算法与图像处理

🌟 ECCV 2022 持续更新最新论文/paper和相应的开源代码/code！

🚗 ECCV 2022 收录列表ID：https://ailb-web.ing.unimore.it/releases/eccv2022/accepted_papers.txt

🚗 官网链接：https://eccv2022.ecva.net

B站demo：https://space.bilibili.com/288489574

✋ ​注：欢迎各位大佬提交issue，分享ECCV 2022论文/paper和开源项目！共同完善这个项目

往年顶会论文汇总：

CVPR2022

CVPR2021

ICCV2021

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🔨 目录 |Table of Contents（点击直接跳转）

目录（右侧点击可折叠）

• 数据集/Dataset
• Image Classification
• GAN
• Visual Transformer
• 多模态/Multimodal
• 对比学习/Contrastive Learning
• 目标检测/Object Detection
• 目标跟踪/Object Tracking
• 语义分割/Segmentation
• 医学图像分割/Medical Image Segmentation
• Knowledge Distillation
• Action Detection
• Action Recognition
• Anomaly Detection
• 人体姿态估计/Human Pose Estimation
• Relighting
• DeepFake
• Text Recognition
• 点云/Point Cloud
• 光流估计/Flow Estimation
• 深度估计/Depth Estimation
• 轨迹预测/Trajectory Prediction
• 图像复原/Image Restoration
• 其他/Other

数据集/Dataset

COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts

• 论文/Paper: http://arxiv.org/pdf/2207.04675
• 代码/Code: https://github.com/ku21fan/COO-Comic-Onomatopoeia

返回目录/back

Image Classification

Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation

• 论文/Paper: http://arxiv.org/pdf/2207.06989
• 代码/Code: https://github.com/remiMZ/HTS-ECCV22

Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization

• 论文/Paper: http://arxiv.org/pdf/2207.07818
• 代码/Code: https://github.com/zh460045050/BagCAMs

返回目录/back

GAN

Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling

• 论文/Paper: http://arxiv.org/abs/2207.02196
• 代码/Code: https://github.com/fudan-zvg/pds

CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer

• 论文/Paper: http://arxiv.org/pdf/2207.04808
• 代码/Code: https://github.com/JarrentWu1031/CCPL

Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis

• 论文/Paper: http://arxiv.org/pdf/2207.05049
• 代码/Code: https://github.com/fast-vid2vid/fast-vid2vid

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

• 论文/Paper: http://arxiv.org/abs/2207.02063
• 代码/Code: https://github.com/tubui/image_attribution

VecGAN: Image-to-Image Translation with Interpretable Latent Directions

• 论文/Paper: http://arxiv.org/pdf/2207.03411
• 代码/Code: None

Context-Consistent Semantic Image Editing with Style-Preserved Modulation

• 论文/Paper: http://arxiv.org/pdf/2207.06252
• 代码/Code: https://github.com/wuyangluo/spmpgan

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

• 论文/Paper: http://arxiv.org/pdf/2207.06124
• 代码/Code: https://github.com/huage001/dynast

Supervised Attribute Information Removal and Reconstruction for Image Manipulation

• 论文/Paper: http://arxiv.org/pdf/2207.06555
• 代码/Code: https://github.com/nannanli999/airr

Name: Adaptive Feature Interpolation for Low-Shot Image Generation

• 论文/Paper: https://arxiv.org/abs/2112.02450
• 代码/Code: https://github.com/dzld00/Adaptive-Feature-Interpolation-for-Low-Shot-Image-Generation

WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation

• 论文/Paper: http://arxiv.org/pdf/2207.07288
• 代码/Code: Link:https://github.com/kobeshegu/ECCV2022_WaveGAN

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs

• 论文/Paper: http://arxiv.org/pdf/2207.08630
• 代码/Code: https://github.com/iceli1007/FakeCLR

Outpainting by Queries

• 论文/Paper: https://arxiv.org/abs/2207.05312
• 代码/Code: https://github.com/Kaiseem/QueryOTR

返回目录/back

Visual Transformer

k-means Mask Transformer

• 论文/Paper: http://arxiv.org/pdf/2207.04044
• 代码/Code: https://github.com/google-research/deeplab2

Weakly Supervised Grounding for VQA in Vision-Language Transformers

• 论文/Paper: http://arxiv.org/pdf/2207.02334
• 代码/Code: https://github.com/aurooj/wsg-vqa-vltransformers

Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2207.04978
• 代码/Code: https://github.com/YehLi/ImageNetModel

CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.04410
• 代码/Code: https://github.com/Green-Wood/CoMER

Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection

• 论文/Paper: http://arxiv.org/pdf/2207.05293
• 代码/Code: https://github.com/MuchHair/HQM

Hunting Group Clues with Transformers for Social Group Activity Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.05254
• 代码/Code: None

Entry-Flipped Transformer for Inference and Prediction of Participant Behavior

• 论文/Paper: http://arxiv.org/pdf/2207.06235
• 代码/Code: None

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

• 论文/Paper: http://arxiv.org/pdf/2207.06124
• 代码/Code: https://github.com/huage001/dynast

Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning

• 论文/Paper: http://arxiv.org/pdf/2207.06101
• 代码/Code: https://github.com/boeun-kim/gl-transformer

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers

• 论文/Paper: http://arxiv.org/pdf/2207.08409
• 代码/Code: https://github.com/Sense-X/TokenMix

TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval

• 论文/Paper: http://arxiv.org/pdf/2207.07852
• 代码/Code: None

返回目录/back

多模态 / Multimodal

Audio-Visual Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.05042
• 代码/Code: https://github.com/OpenNLPLab/AVSBench

Cross-modal Prototype Driven Network for Radiology Report Generation

• 论文/Paper: http://arxiv.org/pdf/2207.04818
• 代码/Code: None

Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting

• 论文/Paper: http://arxiv.org/pdf/2207.04624
• 代码/Code: https://github.com/d1024choi/HLSTrajForecast

UniNet: Unified Architecture Search with Convolution, Transformer, and MLP

• 论文/Paper: http://arxiv.org/pdf/2207.05420
• 代码/Code: https://github.com/Sense-X/UniNet

Video Graph Transformer for Video Question Answering

• 论文/Paper: http://arxiv.org/pdf/2207.05342
• 代码/Code: https://github.com/sail-sg/VGT

Bootstrapped Masked Autoencoders for Vision BERT Pretraining

• 论文/Paper: http://arxiv.org/pdf/2207.07116
• 代码/Code: https://github.com/lightdxy/bootmae

返回目录/back

对比学习/Contrastive Learning

Network Binarization via Contrastive Learning

• 论文/Paper: http://arxiv.org/pdf/2207.02970
• 代码/Code: None

Contrastive Deep Supervision

• 论文/Paper: http://arxiv.org/pdf/2207.05306
• 代码/Code: None

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

• 论文/Paper: http://arxiv.org/pdf/2207.06733
• 代码/Code: https://github.com/tencentailabhealthcare/concl

Action-based Contrastive Learning for Trajectory Prediction

• 论文/Paper: http://arxiv.org/pdf/2207.08664
• 代码/Code: None

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs

• 论文/Paper: http://arxiv.org/pdf/2207.08630
• 代码/Code: https://github.com/iceli1007/FakeCLR.

Adversarial Contrastive Learning via Asymmetric InfoNCE

• 论文/Paper: http://arxiv.org/pdf/2207.08374
• 代码/Code: https://github.com/yqy2001/A-InfoNCE

Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches

• 论文/Paper: http://arxiv.org/pdf/2207.08220
• 代码/Code: None

返回目录/back

目标检测/Object Detection

Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.02541
• 代码/Code: None

Should All Proposals be Treated Equally in Object Detection?

• 论文/Paper: http://arxiv.org/pdf/2207.03520
• 代码/Code: None

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

• 论文/Paper: http://arxiv.org/pdf/2207.05345
• 代码/Code: https://github.com/LutingWang/HEAD

Adversarially-Aware Robust Object Detector

• 论文/Paper: http://arxiv.org/pdf/2207.06202
• 代码/Code: https://github.com/7eu7d7/robustdet

ObjectBox: From Centers to Boxes for Anchor-Free Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.06985
• 代码/Code: https://github.com/mohsenzand/objectbox

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

• 论文/Paper: http://arxiv.org/pdf/2207.06827
• 代码/Code: None

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.08531
• 代码/Code: https://github.com/SPengLiang/DID-M3D.

SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection

• 论文/Paper: http://arxiv.org/pdf/2207.07898
• 代码/Code: https://github.com/Hydragon516/SPSN

返回目录/back

目标跟踪/Object Tracking

Tracking Objects as Pixel-wise Distributions

• 论文/Paper: http://arxiv.org/pdf/2207.05518
• 代码/Code: None

Towards Grand Unification of Object Tracking

• 论文/Paper: http://arxiv.org/pdf/2207.07078
• 代码/Code: https://github.com/masterbin-iiau/unicorn

返回目录/back

语义分割/Segmentation

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

• 论文/Paper: http://arxiv.org/pdf/2207.02372
• 代码/Code: https://github.com/xing0047/tps

OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers

• 论文/Paper: http://arxiv.org/pdf/2207.02255
• 代码/Code: https://github.com/pjlallen/osformer

PseudoClick: Interactive Image Segmentation with Click Imitation

• 论文/Paper: http://arxiv.org/pdf/2207.05282
• 代码/Code: None

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

• 论文/Paper: http://arxiv.org/pdf/2207.07115
• 代码/Code: https://github.com/hkchengrex/XMem

Tackling Background Distraction in Video Object Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.06953
• 代码/Code: https://github.com/suhwan-cho/tbd

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.08549
• 代码/Code: None

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.08485
• 代码/Code: https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN

Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding

• 论文/Paper: http://arxiv.org/pdf/2207.08455
• 代码/Code: None

Learning Quality-aware Dynamic Memory for Video Object Segmentation

• 论文/Paper: http://arxiv.org/pdf/2207.07922
• 代码/Code: https://github.com/workforai/QDMN

返回目录/back

医学图像分割/Medical Image Segmentation

Personalizing Federated Medical Image Segmentation via Local Calibration

• 论文/Paper: http://arxiv.org/pdf/2207.04655
• 代码/Code: https://github.com/jcwang123/FedLC

返回目录/back

Knowledge Distillation

Knowledge Condensation Distillation

• 论文/Paper: http://arxiv.org/pdf/2207.05409
• 代码/Code: https://github.com/dzy3/KCD.

返回目录/back

Action Detection

ReAct: Temporal Action Detection with Relational Queries

• 论文/Paper: http://arxiv.org/pdf/2207.07097
• 代码/Code: https://github.com/sssste/react

Semi-Supervised Temporal Action Detection with Proposal-Free Masking

• 论文/Paper: http://arxiv.org/pdf/2207.07059
• 代码/Code: https://github.com/sauradip/SPOT

Temporal Action Detection with Global Segmentation Mask Learning

• 论文/Paper: http://arxiv.org/pdf/2207.06580
• 代码/Code: https://github.com/sauradip/TAGS

返回目录/back

Action Recognition

Compound Prototype Matching for Few-shot Action Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.05515
• 代码/Code: None

返回目录/back

Anomaly Detection

Registration based Few-Shot Anomaly Detection

• 论文/Paper: http://arxiv.org/pdf/2207.07361
• 代码/Code: https://github.com/MediaBrain-SJTU/RegAD

返回目录/back

人体姿态估计/Human Pose Estimation

Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation

• 论文/Paper: http://arxiv.org/pdf/2207.02425
• 代码/Code: None

Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks

• 论文/Paper: http://arxiv.org/pdf/2207.05444
• 代码/Code: https://github.com/JiehongLin/Self-DPDN

Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning

• 论文/Paper: http://arxiv.org/pdf/2207.06101
• 代码/Code: https://github.com/boeun-kim/gl-transformer

TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance

• 论文/Paper: http://arxiv.org/pdf/2207.07861
• 代码/Code: https://github.com/yanjh97/TransGrasp

返回目录/back

Relighting

Geometry-aware Single-image Full-body Human Relighting

• 论文/Paper: http://arxiv.org/pdf/2207.04750
• 代码/Code: None

Relighting4D: Neural Relightable Human from Videos

• 论文/Paper: http://arxiv.org/pdf/2207.07104
• 代码/Code: https://github.com/FrozenBurning/Relighting4D

返回目录/back

DeepFake

Detecting and Recovering Sequential DeepFake Manipulation

• 论文/Paper: http://arxiv.org/abs/2207.02204
• 代码/Code: https://github.com/rshaojimmy/seqdeepfake

返回目录/back

Text Recognition

Scene Text Recognition with Permuted Autoregressive Sequence Models

• 论文/Paper: http://arxiv.org/pdf/2207.06966
• 代码/Code: https://github.com/baudm/parseq

Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting

• 论文/Paper: http://arxiv.org/pdf/2207.06694
• 代码/Code: https://github.com/hikopensource/davar-lab-ocr

返回目录/back

点云/Point Cloud

Open-world Semantic Segmentation for LIDAR Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2207.01452
• 代码/Code: https://github.com/jun-cen/open_world_3d_semantic_segmentation

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds

• 论文/Paper: http://arxiv.org/pdf/2207.04397
• 代码/Code: None

CPO: Change Robust Panorama to Point Cloud Localization

• 论文/Paper: http://arxiv.org/pdf/2207.05317
• 代码/Code: None

diffConv: Analyzing Irregular Point Clouds with an Irregular View

• 论文/Paper: https://arxiv.org/abs/2111.14658
• 代码/Code: https://github.com/mmmmimic/diffConvNet

CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement

• 论文/Paper: http://arxiv.org/pdf/2207.08082
• 代码/Code: None

返回目录/back

光流估计/Flow Estimation

Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation

• 论文/Paper: http://arxiv.org/pdf/2207.07522
• 代码/Code: https://github.com/cwc1260/BiFlow

返回目录/back

深度估计/Depth Estimation

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

• 论文/Paper: http://arxiv.org/pdf/2207.04718
• 代码/Code: None

Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics

• 论文/Paper: http://arxiv.org/pdf/2207.04680
• 代码/Code: https://github.com/SenZHANG-GitHub/ekf-imu-depth

返回目录/back

轨迹预测/Trajectory Prediction

Action-based Contrastive Learning for Trajectory Prediction

• 论文/Paper: http://arxiv.org/pdf/2207.08664
• 代码/Code: None

返回目录/back

图像复原/Image Restoration

D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration

• 论文/Paper: http://arxiv.org/pdf/2207.03294
• 代码/Code: https://github.com/zhaoyuzhi/D2HNet

返回目录/back

其他/Other

Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets

• 论文/Paper: http://arxiv.org/pdf/2207.01573
• 代码/Code: None

GraphVid: It Only Takes a Few Nodes to Understand a Video

• 论文/Paper: http://arxiv.org/pdf/2207.01375
• 代码/Code: None

Target-absent Human Attention

• 论文/Paper: http://arxiv.org/pdf/2207.01166
• 代码/Code: None

Lottery Ticket Hypothesis for Spiking Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2207.01382
• 代码/Code: None

Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality

• 论文/Paper: http://arxiv.org/abs/2207.02119
• 代码/Code: https://github.com/kingjamessong/orthoimprovecond

AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture

• 论文/Paper: http://arxiv.org/abs/2207.02031
• 代码/Code: https://github.com/lizhe00/AvatarCap.

DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images

• 论文/Paper: http://arxiv.org/abs/2207.02025
• 代码/Code: None

Learning Local Implicit Fourier Representation for Image Warping

• 论文/Paper: http://arxiv.org/abs/2207.01831
• 代码/Code: https://github.com/jaewon-lee-b/ltew

SESS: Saliency Enhancing with Scaling and Sliding

• 论文/Paper: http://arxiv.org/abs/2207.01769
• 代码/Code: https://github.com/neouyghur/sess

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts

• 论文/Paper: http://arxiv.org/abs/2207.01696
• 代码/Code: None

DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition

• 论文/Paper: http://arxiv.org/pdf/2207.02606
• 代码/Code: None

FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

• 论文/Paper: http://arxiv.org/pdf/2207.02595
• 代码/Code: https://github.com/timothyhtimothy/fast-vqa

Towards Realistic Semi-Supervised Learning

• 论文/Paper: http://arxiv.org/pdf/2207.02269
• 代码/Code: None

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning

• 论文/Paper: http://arxiv.org/pdf/2207.02261
• 代码/Code: None

Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning

• 论文/Paper: http://arxiv.org/pdf/2207.02598
• 代码/Code: None

Factorizing Knowledge in Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2207.03337
• 代码/Code: None

SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning

• 论文/Paper: http://arxiv.org/pdf/2207.03677
• 代码/Code: https://github.com/RICE-EIC/SuperTickets.

Video Dialog as Conversation about Objects Living in Space-Time

• 论文/Paper: http://arxiv.org/pdf/2207.03656
• 代码/Code: https://github.com/hoanganhpham1006/COST

Demystifying Unsupervised Semantic Correspondence Estimation

• 论文/Paper: http://arxiv.org/pdf/2207.05054
• 代码/Code: None

A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision

• 论文/Paper: http://arxiv.org/pdf/2207.04997
• 代码/Code: None

DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization

• 论文/Paper: http://arxiv.org/pdf/2207.04788
• 代码/Code: None

Batch-efficient EigenDecomposition for Small and Medium Matrices

• 论文/Paper: http://arxiv.org/pdf/2207.04228
• 代码/Code: None

Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space

• 论文/Paper: http://arxiv.org/pdf/2207.04161
• 代码/Code: None

Camera Pose Auto-Encoders for Improving Pose Regression

• 论文/Paper: http://arxiv.org/pdf/2207.05530
• 代码/Code: https://github.com/yolish/camera-pose-auto-encoders

Synergistic Self-supervised and Quantization Learning

• 论文/Paper: http://arxiv.org/pdf/2207.05432
• 代码/Code: https://github.com/megvii-research/SSQL-ECCV2022

Frequency Domain Model Augmentation for Adversarial Attack

• 论文/Paper: http://arxiv.org/pdf/2207.05382
• 代码/Code: https://github.com/yuyang-long/ssa

Organic Priors in Non-Rigid Structure from Motion

• 论文/Paper: http://arxiv.org/pdf/2207.06262
• 代码/Code: None

Unsupervised Visual Representation Learning by Synchronous Momentum Grouping

• 论文/Paper: http://arxiv.org/pdf/2207.06167
• 代码/Code: None

Learning Implicit Templates for Point-Based Clothed Human Modeling

• 论文/Paper: http://arxiv.org/pdf/2207.06955
• 代码/Code: https://github.com/jsnln/fite

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

• 论文/Paper: http://arxiv.org/pdf/2207.06873
• 代码/Code: https://github.com/explainableml/bayescap

Lipschitz Continuity Retained Binary Neural Network

• 论文/Paper: http://arxiv.org/pdf/2207.06540
• 代码/Code: https://github.com/42shawn/lcr_bnn

3D Instances as 1D Kernels

• 论文/Paper: http://arxiv.org/pdf/2207.07372
• 代码/Code: https://github.com/W1zheng/DKNet

ScaleNet: Searching for the Model to Scale

• 论文/Paper: http://arxiv.org/pdf/2207.07267
• 代码/Code: https://github.com/luminolx/ScaleNet

Rethinking Data Augmentation for Robust Visual Question Answering

• 论文/Paper: http://arxiv.org/pdf/2207.08739
• 代码/Code: https://github.com/ItemZheng/KDDAug

Semantic Novelty Detection via Relational Reasoning

• 论文/Paper: http://arxiv.org/pdf/2207.08699
• 代码/Code: None

Label2Label: A Language Modeling Framework for Multi-Attribute Learning

• 论文/Paper: http://arxiv.org/pdf/2207.08677
• 代码/Code: https://github.com/Li-Wanhua/Label2Label.

Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes

• 论文/Paper: http://arxiv.org/pdf/2207.08656
• 代码/Code: https://github.com/UncleMEDM/InstPIFu

Class-incremental Novel Class Discovery

• 论文/Paper: http://arxiv.org/pdf/2207.08605
• 代码/Code: https://github.com/OatmealLiu/class-iNCD

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects

• 论文/Paper: http://arxiv.org/pdf/2207.08403
• 代码/Code: None

SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement

• 论文/Paper: http://arxiv.org/pdf/2207.08351
• 代码/Code: None

Learning with Recoverable Forgetting

• 论文/Paper: http://arxiv.org/pdf/2207.08224
• 代码/Code: None

Zero-Shot Temporal Action Detection via Vision-Language Prompting

• 论文/Paper: http://arxiv.org/pdf/2207.08184
• 代码/Code: https://github.com/sauradip/STALE

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal

• 论文/Paper: http://arxiv.org/pdf/2207.08178
• 代码/Code: None

FashionViL: Fashion-Focused Vision-and-Language Representation Learning

• 论文/Paper: http://arxiv.org/pdf/2207.08150
• 代码/Code: https://github.com/BrandonHanx/mmf.

E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context

• 论文/Paper: http://arxiv.org/pdf/2207.08132
• 代码/Code: https://github.com/kyleleey/E-NeRV.

Neural Color Operators for Sequential Image Retouching

• 论文/Paper: http://arxiv.org/pdf/2207.08080
• 代码/Code: https://github.com/amberwangyili/neurop

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

• 论文/Paper: http://arxiv.org/pdf/2207.07932
• 代码/Code: None

JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes

• 论文/Paper: http://arxiv.org/pdf/2207.07895
• 代码/Code: at~\href{https://github.com/sunnyHelen/JPerceiver}{https://github.com/sunnyHelen/JPerceiver}.

You Should Look at All Objects

• 论文/Paper: http://arxiv.org/pdf/2207.07889
• 代码/Code: None

NeFSAC: Neurally Filtered Minimal Samples

• 论文/Paper: http://arxiv.org/pdf/2207.07872
• 代码/Code: https://github.com/cavalli1234/NeFSAC.

CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS

• 论文/Paper: http://arxiv.org/pdf/2207.07868
• 代码/Code: https://github.com/walkerning/aw_nas.

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

• 论文/Paper: http://arxiv.org/pdf/2207.07826
• 代码/Code: https://github.com/WentaoChen0813/CDCS-FSL

Self-calibrating Photometric Stereo by Neural Inverse Rendering

• 论文/Paper: http://arxiv.org/pdf/2207.07815
• 代码/Code: https://github.com/junxuan-li/SCPS-NIR

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection

• 论文/Paper: http://arxiv.org/pdf/2207.07783
• 代码/Code: https://github.com/SRA2/SPELL

Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search

• 论文/Paper: http://arxiv.org/pdf/2207.08350
• 代码/Code: None

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