Pinned Repositories
Awesome-Incremental-Learning
Awesome Incremental Learning
CVPR2022-Paper-Code-Interpretation
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
DAFormer
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
detr
End-to-End Object Detection with Transformers
FST
[NeurIPS'22] Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.
mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
vgtr
[ICME'22] Visual Grounding with Transformers
wseg
[CVPR'22] Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
usr922's Repositories
usr922/wseg
[CVPR'22] Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
usr922/FST
[NeurIPS'22] Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.
usr922/vgtr
[ICME'22] Visual Grounding with Transformers
usr922/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
usr922/Awesome-Incremental-Learning
Awesome Incremental Learning
usr922/CVPR2022-Paper-Code-Interpretation
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
usr922/DAFormer
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
usr922/detr
End-to-End Object Detection with Transformers
usr922/ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
usr922/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
usr922/TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
usr922/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
usr922/U2PL
[CVPR 2022] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
usr922/usr922.github.io
usr922/WILSON
Official implementation of "Incremental Learning in Semantic Segmentation from Image Labels"