Pinned Repositories
actnn-mim
actnn-mmcls
OpenMMLab Image Classification Toolbox and Benchmark
actnn-mmcv
OpenMMLab Computer Vision Foundation
actnn-mmdet
OpenMMLab Detection Toolbox and Benchmark
actnn-mmgen
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
CoDeNet
Algorithm-hardware Co-design for Deformable Convolution
dent
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
tent
ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization
weightnet.pytorch
WeightNet: Revisiting the Design Space of Weight Networks
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
DequanWang's Repositories
DequanWang/tent
ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization
DequanWang/dent
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
DequanWang/CoDeNet
Algorithm-hardware Co-design for Deformable Convolution
DequanWang/weightnet.pytorch
WeightNet: Revisiting the Design Space of Weight Networks
DequanWang/actnn-mmcv
OpenMMLab Computer Vision Foundation
DequanWang/actnn-mmdet
OpenMMLab Detection Toolbox and Benchmark
DequanWang/actnn-mim
DequanWang/actnn-mmcls
OpenMMLab Image Classification Toolbox and Benchmark
DequanWang/actnn-mmgen
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
DequanWang/actnn-mmseg
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
DequanWang/actnn-mmssl
Self-Supervised Learning Toolbox and Benchmark
DequanWang/actnn-vissl
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
DequanWang/arcanist
Command line interface for Phabricator
DequanWang/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
DequanWang/phabricator
Effective June 1, 2021: Phabricator is no longer actively maintained.
DequanWang/SJTUBeamer
blue, light, min or max, default
DequanWang/vimplus
:rocket:An automatic configuration program for vim