Pinned Repositories
AWESOME-FER
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
Awesome-Temporal-Action-Localization
A curated list of temporal action localization/detection and related area (e.g. temporal action proposal) resources.
awesome-weakly-supervised-action-localization
BMN-Boundary-Matching-Network
A pytorch-version implementation codes of paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", which is accepted in ICCV 2019.
BoT-SORT
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
BSN-boundary-sensitive-network
Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"
BSN-boundary-sensitive-network.pytorch
Codes of our paper: "BSN: Boundary Sensitive Network for Temporal Action Proposal Generation"
CACNet-Pytorch
Unofficial PyTorch implementation of "Composing Photos Like a Photographer"
chinese-poetry-zhCN
chinese-poetry [古诗] 简体中文版本
PointRend-simple-pytorch
a pytorch-based simple PointRend structure
hhhhnwl's Repositories
hhhhnwl/AWESOME-FER
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
hhhhnwl/Awesome-Temporal-Action-Localization
A curated list of temporal action localization/detection and related area (e.g. temporal action proposal) resources.
hhhhnwl/awesome-weakly-supervised-action-localization
hhhhnwl/BoT-SORT
BoT-SORT: Robust Associations Multi-Pedestrian Tracking
hhhhnwl/CACNet-Pytorch
Unofficial PyTorch implementation of "Composing Photos Like a Photographer"
hhhhnwl/ConvNeXt
Code release for ConvNeXt model
hhhhnwl/CVPR2022-DaGAN
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
hhhhnwl/CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
hhhhnwl/EfficientFace
“Robust Lightweight Facial Expression Recognition Network with Label Distribution Training”, AAAI 2021.
hhhhnwl/facerec
Face recognition using Pytorch (Arcface, Cosface, Centerloss)
hhhhnwl/fast-reid
SOTA Re-identification Methods and Toolbox
hhhhnwl/Image-Composition-Assessment-Dataset-CADB
[BMVC2021] The first image composition assessment dataset. Used in the paper "Image Composition Assessment with Saliency-augmented Multi-pattern Pooling". Useful for image composition assessment, image aesthetic assesment, etc.
hhhhnwl/image_classification_sota
Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, NAS, Rep, etc.
hhhhnwl/lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
hhhhnwl/MM2022_sub1465
hhhhnwl/mmediting
OpenMMLab Image and Video Editing Toolbox
hhhhnwl/MobileOne
An Improved One millisecond Mobile Backbone
hhhhnwl/motion-cosegmentation
Reference code for "Motion-supervised Co-Part Segmentation" paper
hhhhnwl/MoViNet-pytorch
MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;
hhhhnwl/PGNet
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection. CVPR 2022
hhhhnwl/RobustVideoMatting
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
hhhhnwl/Savior
(WIP)The deployment framework aims to provide a simple, lightweight, fast integrated, pipelined deployment framework for RPA(Robot Process Automation) that ensures reliability, high concurrency and scalability of services.
hhhhnwl/Semantic-segmentation
hhhhnwl/SimSiam
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
hhhhnwl/Synonyms
:herb: 中文近义词：聊天机器人，智能问答工具包
hhhhnwl/Temporal-Context-Aggregation-Network-Pytorch
CVPR2021: Temporal Context Aggregation Network for Temporal Action Proposal Refinement
hhhhnwl/UFO
Official PyTorch implementation of the “A Unified Transformer Framework for Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection”.
hhhhnwl/vidaug
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
hhhhnwl/yolov4-pytorch
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
hhhhnwl/YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~