| --- |
| license: other |
| license_name: license-tbd |
| pretty_name: FSH-TAL |
| tags: |
| - cichlid |
| - temporal-action-localization |
| - animal-behavior |
| - video |
| datasets: |
| - bds062/cichlid-behavior-pairs |
| --- |
| |
| # FSH-TAL |
|
|
| Model weights for **Automated Temporal Localization of Behavior in Cichlid |
| Fish with Few-Shot Trajectory Tokens** (WACV 2027). Code, usage and the full |
| pipeline: **https://github.com/bds062/FSH-TAL** |
|
|
| ## Files |
|
|
| | Path | Size | What it is | |
| |---|---|---| |
| | `checkpoints/fshtal_release.pt` | 63 MB | FSH-TAL localizer trained on all 17 recordings | |
| | `backbone/backbone_release.pt` | 537 MB | Trokens++ MIL backbone trained on all 17 recordings | |
| | `checkpoints/fold{0-4}.pt` | 5 × 63 MB | the paper's 5-fold cross-validation localizers; fold F's never trained on fold F's recordings | |
| | `features/feats_fold{0-4}/<recording>/feats.npy` | 3.6 GB | the paper's 5-fold cross-validation feature banks | |
| | `features/feats_release_all17/<recording>/feats.npy` | 0.7 GB | the release backbone's feature bank | |
|
|
| All inputs come from SAM 3.1 tracks (prompt "fish", streamed at 4 fps in 24 s |
| sessions). Each cross-validation localizer trains on the 13-14 recordings |
| outside its fold and is scored at its final epoch with its fold's bank, giving |
| 41.0 avg mAP (IoU 0.1-0.7) over the 17 held-out recordings. |
|
|
| ## License |
|
|
| TBD — license to be finalized alongside the associated publication. Contact |
| the authors before reuse. |
|
|
