zhy0321

zhy0321's Stars

• mr-eggplant/SAR

  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World

  Language:Python1526

• Jo-wang/DPO

  Code for paper "DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection"

  4

• vuer-ai/feature-splatting

  Language:Python1215

• CVMI-Lab/ST3D

  (CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection

  Language:Python29646

• lingeringlight/DomainDrop

  The official implementation for DomainDrop (ICCV 2023).

  Language:Python433

• sangrokleeeeee/DAC

  (CVPR2023) official code of Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization

  Language:Python26

• RoyalVane/TAF-Cal

  Test-time Fourier Style Calibration for Domain Generalization - IJCAI 2022

  9

• WMX567/3DPointCloudGeoAug

  Official Implementation for "3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation"

  Language:Python1

• Dayan-Guan/DA-VSN

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

  Language:Python428

• JunweiZheng93/APES

  Official repository for paper "Attention-based Point Cloud Edge Sampling" (APES), Highlight@CVPR 2023

  Language:Python886

• graspnet/graspnet-baseline

  Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

  Language:Python453137

• tim-learn/awesome-test-time-adaptation

  Collection of awesome test-time (domain/batch/instance) adaptation methods

  65347

• MotasemAlfarra/Online_Test_Time_Adaptation

  Revisiting Test Time Adaptation Under Online Evaluation

  Language:Python282

• NVlabs/contact_graspnet

  Efficient 6-DoF Grasp Generation in Cluttered Scenes

  Language:Python300106

• TritiumR/Where2Explore

  The implementation of the paper "Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects". [NeurIPS 2023]

  Language:Python8

• google-deepmind/open_x_embodiment

  Language:Jupyter Notebook75050

• graspnet/anygrasp_sdk

  Language:Python27426

• Dandelight/graspnet-baseline

  Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

  Language:Python193

• dkguo/PhyGrasp

  Language:Python18

• JiehongLin/Self-DPDN

  Code for "Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks"

  Language:Python525

• hetolin/SAR-Net

  Code for "SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation" CVPR2022

  Language:Python647

• robotics-survey/Awesome-Robotics-Foundation-Models

  80582

• OasisYang/Wild6D

  Language:Python441

• taeyeopl/Object-Pose-Estimation-CVPR-2024

  16

• wkentaro/gdown

  Google Drive Public File Downloader when Curl/Wget Fails

  Language:Python4.1k345

• taeckyung/SoTTA

  This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, and Sung-Ju Lee (* Equal contribution).

  Language:Python162

• TL-UESTC/DAMP

  The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

  Language:Python17

• Anonymous-012/SVDP

  [AAAI 2024] SVDP: Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

  Language:Python22

• TaesikGong/NOTE

  The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"

  Language:Python398

• test-time-training/mttt

  Language:Python784