ChenWang0210

ChenWang0210's Stars

• rulixiang/ToCo

  [CVPR 2023] Token Contrast for Weakly-Supervised Semantic Segmentation

  Language:Python14711

• xxxnell/how-do-vits-work

  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

  Language:Python80879

• jiwoon-ahn/irn

  Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

  Language:Python525100

• bubbliiiing/ddpm-pytorch

  这个是一个ddpm的pytorch仓库，可以用于训练自己的数据集。

  Language:Python21016

• dongzhang89/CONTA

  Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation

  Language:Python18527

• speedinghzl/AlignSeg

  AlignSeg: Feature-Aligned Segmentation Networks (TPAMI 2021)

  Language:Python1287

• HeliosZhao/SHADE

  Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation. ECCV 2022

  Language:Python445

• damo-cv/TransFGU

  Language:Python253

• tsunghan-wu/D2ADA

  🍀 Official pytorch implementation of "D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation. Wu et al. ECCV 2022."

  Language:Python23

• wangf3014/CP2

  Language:Python122

• vobecant/DriveAndSegment

  Language:JavaScript567

• uzh-rpg/ess

  Repository relating to "ESS: Learning Event-based Semantic Segmentation from Still Images" (ECCV, 2022).

  Language:Python6812

• GuoleiSun/VSS-MRCFA

  Official code for ECCV 2022 paper

  Language:Python305

• deepplants/ViT-PCM

  Official implementation of "Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation"

  Language:Python161

• JayQine/MGD-SSSS

  Language:Python141

• RViMLab/ECCV2022-multi-scale-and-cross-scale-contrastive-segmentation

  Implementation of the methods described in "Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation", ECCV 2022

  Language:Python272

• theo2021/OnDA

  Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the code has been implemented to perform training and evaluation of UDA approaches in continuous scenarios. The library has been implemented in PyTorch 1.7.1. Some newer versions should work as well.

  Language:Python282

• dvlab-research/DecoupleNet

  Official implementation for our ECCV 2022 paper "DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation"

  Language:Python362

• jiangzhengkai/ProCA

  [ECCV 2022] Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation

  Language:Python515

• edwardyehuang/CAR

  CAR: Class-aware Regularizations for Semantic Segmentation (ECCV-2022)

  Language:Python296

• lhoyer/HRDA

  [ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

  Language:Python23331

• ETHRuiGong/TADA

  TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation

  Language:Python12

• MkuuWaUjinga/leopart

  Language:Python9714

• jfzhuang/IFR

  [CVPR'22] Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature Reconstruction

  Language:Python274

• maeve07/RCA

  Language:Python725

• bradyz/cross_view_transformers

  Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)

  Language:Python52580

• HeliosZhao/NCDSS

  Novel Class Discovery in Semantic Segmentation. CVPR 2022

  Language:Python623

• zhangchbin/RCIL

  [CVPR2022] Representation Compensation Networks for Continual Semantic Segmentation

  Language:Python10012

• xulianuwa/MCTformer

  Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

  Language:Python15316

• YiF-Zhang/RegionProxy

  [CVPR22] Official codebase of Semantic Segmentation by Early Region Proxy.

  Language:Python631