MedChaabane / DEFT

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.

Date Created 2021-01-30 (3 years ago)

Commits 41 (last one 3 years ago)

Stargazers 264 (0 this week)

Watchers 12 (0 this week)

Forks 44

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RepositoryStats indexes 533,807 repositories, of these MedChaabane/DEFT is ranked #137,971 (74th percentile) for total stargazers, and #172,409 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #23,357/103,260.

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MedChaabane/DEFT has Github issues enabled, there are 20 open issues and 11 closed issues.

All Topics

multi-object-tracking tracking-by-detection joint-detection-and-tracking

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updated: 2024-05-08 @ 10:02pm, id: 334473884 / R_kgDOE--qnA