SINet-V1

Reported on 7 benchmarks across 7 tasks

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

Methodology4 results

3DonPCOD_1200
S-Measure
0.862
best: 0.922 (CMX)
2D ClassificationonPCOD_1200
S-Measure
0.862
best: 0.922 (CMX)
2D Object DetectiononPCOD_1200
S-Measure
0.862
best: 0.922 (CMX)
16konPCOD_1200
S-Measure
0.862
best: 0.922 (CMX)

Computer Vision3 results

Object DetectiononPCOD_1200
S-Measure
0.862
best: 0.922 (CMX)
Camouflaged Object SegmentationonPCOD_1200
S-Measure
0.862
best: 0.922 (CMX)
Object SegmentationonPCOD_1200
S-Measure
0.862
best: 0.922 (CMX)