# MedChaabane/DEFT

<https://repo.masters-masters.com/en/repos/MedChaabane/DEFT>

[Home](https://repo.masters-masters.com/en) › [MedChaabane](https://repo.masters-masters.com/en/owners/MedChaabane) › [DEFT](https://repo.masters-masters.com/en/repos/MedChaabane/DEFT)

MedChaabane/DEFT has 277 stars on GitHub. Its RepoMasters card: Alpha tier. Joint detection and tracking model named DEFT, or \`\`Detection Embeddings for…

| Field | Value |
| --- | --- |
| Owner | [MedChaabane](https://repo.masters-masters.com/en/owners/MedChaabane) |
| Stars | 277 |
| Forks | 43 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | multi-object-tracking, joint-detection-and-tracking, tracking-by-detection |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [MedChaabane/DEFT](https://github.com/MedChaabane/DEFT) |

## Repository

Joint detection and tracking model named DEFT, or \`\`Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
