Dayan-Guan

Dayan-Guan's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.8k3086745.7k

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k1771.1k2.5k

• NVIDIA/flownet2-pytorch

  Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

  Language:Python3.2k56263740

• YanchaoYang/FDA

  Fourier Domain Adaptation for Semantic Segmentation

  Language:Python50174481

• valeoai/ADVENT

  Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

  Language:Python383133170

• krumo/Domain-Adaptive-Faster-RCNN-PyTorch

  Domain Adaptive Faster R-CNN in PyTorch

  Language:Python30775068

• yzou2/CRST

  Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

  Language:Python233113829

• xiaoaoran/3d_url_survey

  (TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey

  20314120

• xiaoaoran/SynLiDAR

  SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)

  Language:Python130131511

• xiaoaoran/SemanticSTF

  (CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds"

  Language:Python1044913

• icoz69/StableLLAVA

  Official repo for StableLLAVA

  Language:Python914310

• AIFEG/BenchLMM

  [ECCV 2024] BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

  Language:Python82016

• xiaoaoran/polarmix

  Official PyTorch implementation of the NeurIPS2022 paper "PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds"

  Language:Python666711

• kdiAAA/TDA

  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"

  Language:Python63375

• XunpengYi/Text-IF

  Official Code of Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and Interactive Image Fusion (CVPR2024)

  Language:Python63384

• jxhuang0508/HCL

  <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021

  Language:Python48169

• Dayan-Guan/DA-VSN

  Code for <Domain Adaptive Video Segmentation via Temporal Consistency Regularization> in ICCV 2021

  Language:Python423118

• jxhuang0508/FSDR

  FSDR: Frequency Space Domain Randomization for Domain Generalization

  Language:Python38254

• xing0047/TPS

  [ECCV 2022] Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

  Language:Python321136

• Dayan-Guan/UaDAN

  Code for <Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection> in IEEE TMM 2021

  Language:Python30218

• Dayan-Guan/USRN

  Code for <Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation> in CVPR 2022

  Language:Python27155

• jxhuang0508/CaCo

  Code for <Category Contrast for Unsupervised Domain Adaptation in Visual Tasks> in CVPR 2022

  Language:Python25183

• jxhuang0508/CVRN

  Cross-View Regularization for Domain Adaptive Panoptic Segmentation

  Language:Python24197

• jxhuang0508/RDA

  <Robust Domain Adaptation> in ICCV2021

  Language:Python19122

• Dayan-Guan/SVMin

  Code for <Scale variance minimization for unsupervised domain adaptation in image segmentation> in Pattern Recognition 2021

  Language:Python9115