yul1998 Goto Github PK

2021-neurips-ncr

active-passive-losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

advances-in-label-noise-learning

A curated (most recent) list of resources for Learning with Noisy Labels

awesome-video-text-datasets

A curated list of video-text datasets in a variety of languages. These datasets can be used for video captioning (video description) or video retrieval.

awesome-video-text-retrieval

A curated list of deep learning resources for video-text retrieval.

awesome_posters

CVPR and NeurIPS poster examples and templates.

bicro

emcl

[NeurIPS 2022 Spotlight] Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

lnl-nce

A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECCV2022.

mscn

noisy-correspondence-summary

This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with me. My email: [email protected]

npc

The code of the paper "Negative Pre-aware for Noisy Cross-modal Matching" in AAAI 2024.

pcmepp

Official Pytorch implementation of "Improved Probabilistic Image-Text Representations"

rcl

Cross-Modal Retrieval with Partially Mismatched Pairs (IEEE TPAMI 2023, PyTorch Code)

self-llm

《开源大模型食用指南》基于AutoDL快速部署开源大模型，部署教程

sgraf

The code of “Similarity Reasoning and Filtration for Image-Text Matching” [AAAI2021]