vtddggg

vtddggg's Stars

• xingyizhou/CenterNet2

  Two-stage CenterNet

  Language:Python1.2k188

• Duankaiwen/PyCenterNet

  Language:Python20824

• naver-ai/vidt

  Language:Python30740

• grispeut/udfa

  object detection, adversarial robustness

  Language:Python7

• facebookresearch/Detic

  Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

  Language:Python1.9k208

• IDEA-Research/detrex

  detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

  Language:Python2.1k213

• baaivision/EVA

  EVA Series: Visual Representation Fantasies from BAAI

  Language:Python2.4k170

• naoto0804/cross-domain-detection

  Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

  Language:Python42577

• IDEA-Research/awesome-detection-transformer

  Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

  1.3k113

• Computer-Vision-in-the-Wild/CVinW_Readings

  A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

  1.2k58

• hila-chefer/Transformer-MM-Explainability

  [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

  Language:Jupyter Notebook811107

• microsoft/UniCL

  [CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"

  Language:Python39030

• facebookresearch/SLIP

  Code release for SLIP Self-supervision meets Language-Image Pre-training

  Language:Python75469

• gwang-kim/DiffusionCLIP

  [CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models

  Language:Python818118

• BIT-DA/CIRL

  [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"

  Language:Python13613

• divelab/GOOD

  GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

  Language:Python18919

• EdisonLeeeee/Graph-Adversarial-Learning

  A curated collection of adversarial attack and defense on graph data.

  Language:Python56279

• IrisRainbowNeko/RobustDet

  The official PyTorch implementation of "Adversarially-Aware Robust Object Detector"

  Language:Python5612

• WongKinYiu/yolov7

  Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

  Language:Jupyter Notebook13.5k4.2k

• ViTAE-Transformer/ViTDet

  Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"

  Language:Python54246

• libffcv/ffcv

  FFCV: Fast Forward Computer Vision (and other ML workloads!)

  Language:Python2.9k179

• VITA-Group/AugMax

  [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

  Language:Python12519

• shengliu66/ConvNorm

  Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks

  Language:Python306

• juntang-zhuang/GSAM

  PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)

  Language:Python14015

• IDEA-Research/DINO

  [ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

  Language:Python2.3k265

• czczup/ViT-Adapter

  [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

  Language:Python1.3k141

• amazon-science/normalizer-free-robust-training

  Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)

  Language:Python19

• haohang96/MRA

  583

• sczhou/CodeFormer

  [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

  Language:Python16.2k3.4k

• thuanz123/enhancing-transformers

  An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch

  Language:Python29335