FS-CDIS (Res101-MTFA+ITL 2-shot)

Reported on 6 benchmarks across 6 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

3DonCAMO-FS
box AP· 2023-04-15
7.28
best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation arXiv:2304.07444
2D ClassificationonCAMO-FS
box AP· 2023-04-15
7.28
best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation arXiv:2304.07444
2D Object DetectiononCAMO-FS
box AP· 2023-04-15
7.28
best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation arXiv:2304.07444
16konCAMO-FS
box AP· 2023-04-15
7.28
best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation arXiv:2304.07444

Computer Vision2 results

Object DetectiononCAMO-FS
box AP· 2023-04-15
7.28
best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation arXiv:2304.07444
Few-Shot Object DetectiononCAMO-FS
box AP· 2023-04-15
7.28
best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation arXiv:2304.07444