Topic: "noisy-correspondence"
XLearning-SCU/2024-ICLR-Norton
Multi-granularity Correspondence Learning from Long-term Noisy Videos [ICLR 2024, Oral]
Language: Python - Size: 10.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 7

XLearning-SCU/Awesome-Noisy-Correspondence
This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: [email protected] [email protected] [email protected]
Size: 316 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 69 - Forks: 5

alipay/PC2-NoiseofWeb
Noise of Web (NoW) is a challenging noisy correspondence learning (NCL) benchmark containing 100K image-text pairs for robust image-text matching/retrieval models.
Language: Python - Size: 13.6 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 12 - Forks: 1

He-Changhao/2025-CVPR-TME Fork of CharlesNeilWilliams/TME
[CVPR 2025] Official Pytorch implementation of "Learning with Noisy Triplet Correspondence for Composed Image Retrieval".
Language: Python - Size: 6.82 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 0

XLearning-SCU/2023-ICCV-COMMON Fork of Lin-Yijie/Graph-Matching-Networks
This repo contains the code and data of "Graph Matching with Bi-level Noisy Correspondence".
Language: Python - Size: 19.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0
