Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[WACV23] A strong baseline for body part-based person re-identification
| Date | Stars |
|---|---|
| 2026-07-24 | 257 |
| 2026-07-25 | 257 |
| 2026-07-28 | 257 |
| 2026-07-30 | 257 |
| 2026-08-06 | 257 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<!-- TODO --> # BPBReID: Body Part-based (Occluded) Re-Identification **A strong baseline for body part-based person re-identification** 🔥 *Our new work on [Keypoint Promptable ReID](https://github.com/VlSomers/keypoint_promptable_reidentification) was accepted at ECCV24* 🔥 [[Paper](https://arxiv.org/abs/2211.03679)] [[Video](https://www.youtube.com/watch?v=4NQump-vg_A&ab_channel=VladimirSomers)] [[Poster](docs/figures/bpbreid/wacv23_poster_bpbreid.pdf)] [](https://arxiv.org/abs/2211.03679) [](https://firstdonoharm.dev/version/3/0/law-media-mil-soc-sv.html) >**[Body Part-Based Representation Learning for Occluded Person Re-Identification, WACV23](https://arxiv.org/abs/2211.03679)** > >Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi > >[*arxiv 2211.03679*](https://arxiv.org/abs/2211.03679) > ### State-of-the-art performance on 5 datasets: Occluded-Duke: [](https://paperswithcode.com/sota/person-re-identification-on-occluded-dukemtmc?p=body-part-based-representation-learning-for) Occluded ReID: [](https://paperswithcode.com/sota/person-re-identification-on-occluded-reid-1?p=body-part-based-representation-learning-for) P-DukeMTMC: [](https://paperswithcode.com/sota/person-re-identification-on-p-dukemtmc-reid?p=body-part-based-representation-learning-for) DukeMTMC-ReID: [](https://paperswithcode.com/sota/person-re-identification-on-dukemtmc-reid?p=body-part-based-representation-learning-for) Market1501: [](https://paperswithcode.com/sota/person-re-identification-on-market-1501?p=body-part-based-representation-learning-for) <p align="center"><img src="/docs/figures/bpbreid/part_based_reid_methods.png" width="860"></p> ## News - [2025.10.25] Added a discussion on the Theoretical Limitations of Global Embeddings in ReID Under Partial Observations - [2024.08.23] 🚀🔥 Our new work on [Keypoint Promptable ReID](https://arxiv.org/abs/2407.18112) was accepted to ECCV24, full codebase available [here](https://github.com/VlSomers/keypoint_promptable_reidentification). - [2023.09.20] New paper and big update coming soon 🚀 ... - [2023.07.26] The Python script from @samihormi to generate human parsing labels based on PifPaf and MaskRCNN has been released, have a look at the "Generate human parsing labels" section below. This script is different from the one used by the authors (especially when facing multiple pedestrians in a single image): resulting human parsing labels will not be exactly the same. - [2023.06.28] Please find a non-official script to generate human parsing labels from PifPaf and MaskRCNN in this [Pull Request](https://github.com/VlSomers/bpbreid/pull/18). The PR will be merged soon. - [2022.12.02] We release the first version of our codebase. Please update frequently as we will add more documentation during the next few weeks. ## What's next We plan on extending BPBReID in the near future, put a star and stay updated for future c
Excerpt of 19,045 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1f88245b8422f2e0, topic:deep-learning, topic:pytorch
matched fp:1f88245b8422f2e0, topic:computer-vision