V2l
[CVPR 2022 Challenge Rank 1st] The official code for V2L: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Metric Learning | 5,734 |  | 19 | 2 months ago | 207 | July 25, 2023 | 54 | mit | Python | |
| The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch. | ||||||||||
| Deep Person Reid | 4,029 | 4 months ago | 137 | mit | Python | |||||
| Torchreid: Deep learning person re-identification in PyTorch. | ||||||||||
| Fast Reid | 3,261 | 5 months ago | 1 | February 15, 2023 | 12 | apache-2.0 | Python | |||
| SOTA Re-identification Methods and Toolbox | ||||||||||
| Towhee | 2,903 | 4 months ago | 26 | December 04, 2023 | 3 | apache-2.0 | Python | |||
| Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast. | ||||||||||
| Hardnet | 458 | a year ago | 6 | mit | Python | |||||
| Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss" | ||||||||||
| Cbir | 300 | 5 years ago | 8 | Python | ||||||
| 🏞 A content-based image retrieval (CBIR) system | ||||||||||
| Artificio | 269 | 5 years ago | 3 | apache-2.0 | Python | |||||
| Deep Learning Computer Vision Algorithms for Real-World Use | ||||||||||
| Computer Vision Leaderboard | 233 | 5 years ago | 15 | mit | ||||||
| Comparison of famous convolutional neural network models | ||||||||||
| Cosplace | 222 | 6 months ago | mit | Python | ||||||
| Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications" | ||||||||||
| Affnet | 209 | 2 years ago | 3 | mit | Python | |||||
| Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability" | ||||||||||
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