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Models/FS-CDIS (iFS-RCNN+IMS 5-shot)

FS-CDIS (iFS-RCNN+IMS 5-shot)

Reported on 8 benchmarks across 8 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
    8.44
    best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
    The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationarXiv:2304.07444
  • 2D ClassificationonCAMO-FS
    box AP· 2023-04-15
    8.44
    best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
    The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationarXiv:2304.07444
  • 2D Object DetectiononCAMO-FS
    box AP· 2023-04-15
    8.44
    best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
    The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationarXiv:2304.07444
  • 16konCAMO-FS
    box AP· 2023-04-15
    8.44
    best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
    The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationarXiv:2304.07444

Computer Vision3 results

  • Object DetectiononCAMO-FS
    box AP· 2023-04-15
    8.44
    best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
    The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationarXiv:2304.07444
  • Few-Shot Object DetectiononCAMO-FS
    box AP· 2023-04-15
    8.44
    best: 10.36 (FS-CDIS (MTFA+IMS 5-shot))
    The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationarXiv:2304.07444
  • Image SegmentationonCAMO-FS
    mask AP· 2023-04-15
    9.03
    best: 9.82 (FS-CDIS (M-RCNN+IMS 5-shot))
    The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationarXiv:2304.07444

Audio1 result

  • 2D Semantic SegmentationonCAMO-FS
    mask AP· 2023-04-15
    9.03
    best: 9.82 (FS-CDIS (M-RCNN+IMS 5-shot))
    The Art of Camouflage: Few-Shot Learning for Animal Detection and SegmentationarXiv:2304.07444