mouxingyang

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

ChatIR

Official repository of "Chatting Makes Perfect: Chat-based Image Retrieval"

QMF

Quality-aware multimodal fusion on ICML 2023

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

2023-ICCV-COMMON

This repo contains the code and data of "Graph Matching with Bi-level Noisy Correspondence".

SAR

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

awesome-source-free-test-time-adaptation

A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

visprog

Official code for VisProg (CVPR 2023 Best Paper!)

robustness

Corruption and Perturbation Robustness (ICLR 2019)

In-Context-Learning_PaperList

Paper List for In-context Learning 🌷

2022-CVPR-DART

PyTorch implementation for Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification (CVPR 2022).

catr

Image Captioning Using Transformer

2021-CVPR-MvCLN

PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)

Person_reID_baseline_pytorch

:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

ReID-Label-Noise

DenseCLIP

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

ReID-Survey

Deep Learning for Person Re-identification: A Survey and Outlook

MPANet

The official implementation for Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification (CVPR21)

Cross-Modal-Re-ID-baseline

Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal/Infrared Re-ID)

Awesome-Unsupervised-Person-Re-identification

Awesome-Unsupervised-Person-Re-identification

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

MRL

Learning Cross-Modal Retrieval with Noisy Labels (CVPR 2021, PyTorch Code)

ssml

Pytorch implementation of the paper: "Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning" from AAAI 2021

2021-CVPR-Completer

PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)

Contrastive-Clustering

Code for the paper "Contrastive Clustering" (AAAI 2021)

2021-CVPR-MvCLN

PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)

Graph-Matching-Networks

PyTorch implementation of Graph Matching Networks, e.g., Graph Matching with Bi-level Noisy Correspondence (COMMON, ICCV 2023), Graph Matching Networks for Learning the Similarity of Graph Structured Objects (GMN, ICML 2019).

eecs-692-replication-project

(Failed) replication of Karpathy and Fei-Fei's TPAMI paper "Deep Visual-Semantic Alignments For Generating Image Descriptions" for EECS 692, WN 2017.

SwMC-IJCAI17

Source code for the published paper "Self-Weighted Multiview Clustering with Multiple Graphs" IJCAI 2017.

MvSCN