XinruiGong's starred repositories

segment-any-moving

Code for "Towards Segmenting Anything That Moves"

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DINOSAUR

UNOFFICIAL implementation of the ICLR 2023 paper "Bridging the Gap to Real-World Object-Centric Learning"

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dino-tracker

Official Pytorch Implementation for “DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video”

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GSANet

[CVPR 2024] Guided Slot Attention for Unsupervised Video Object Segmentation

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SOLV

Official implementation of the NeurIPS 2023 paper "Self-supervised Object-Centric Learning for Videos"

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leetcode

离线版本的电子书《LeetCode Cookbook》PDF https://github.com/halfrost/LeetCode-Go/releases/

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EmerNeRF

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

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multi-object-segmentation

Code for "Multi-Object Discovery by Low-Dimensional Object Motion"

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STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

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U2Seg

[CVPR 2024] Code release for "Unsupervised Universal Image Segmentation"

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SSL-UVOS

[ECCV 2024] Code for Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation

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guess-what-moves

Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion

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MaskDistill

Discovering Object Masks for Unsupervised Semantic Segmentation [2022]

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probable-motion

Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns

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masktrackrcnn-mmdet2.0

UNOFFICIAL implement of MaskTrackRCNN for video instance segmentation via mmdetection 2.11.0.

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self-adaptive

Semantic Self-adaptation: Enhancing Generalization with a Single Sample

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semantic-unsup-flow-release

[ICCV 2023] Official PyTorch implementation of our paper SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving

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google-research

Google Research

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UPFlow_pytorch

PyTorch implementation of UPFlow (unsupervised optical flow learning)

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SelFlow

SelFlow: Self-Supervised Learning of Optical Flow

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AccFlow

Official code for paper "AccFlow: Backward Accumulation for Long-Range Optical Flow"

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REKCARC-TSC-UHT

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

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