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Models/SINet-V2

SINet-V2

Reported on 28 benchmarks across 7 tasks · 1 paper · 21 SOTA

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

Methodology16 results

3DonCAMO
MAE· 2021-02-20
0.07
best: 0.025 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
3DonCAMO
S-Measure· 2021-02-20
0.82
best: 0.912 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
3DonCAMO
Weighted F-Measure· 2021-02-20
0.743
best: 0.904 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
2D ClassificationonCAMO
MAE· 2021-02-20
0.07
best: 0.025 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
2D ClassificationonCAMO
S-Measure· 2021-02-20
0.82
best: 0.912 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
2D ClassificationonCAMO
Weighted F-Measure· 2021-02-20
0.743
best: 0.904 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
2D Object DetectiononCAMO
MAE· 2021-02-20
0.07
best: 0.025 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
2D Object DetectiononCAMO
S-Measure· 2021-02-20
0.82
best: 0.912 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
2D Object DetectiononCAMO
Weighted F-Measure· 2021-02-20
0.743
best: 0.904 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
16konCAMO
MAE· 2021-02-20
0.07
best: 0.025 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
16konCAMO
S-Measure· 2021-02-20
0.82
best: 0.912 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
16konCAMO
Weighted F-Measure· 2021-02-20
0.743
best: 0.904 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
3DonPCOD_1200
S-Measure· 2021-02-20
0.882
best: 0.922 (CMX)
Concealed Object Detection arXiv:2102.10274
2D ClassificationonPCOD_1200
S-Measure· 2021-02-20
0.882
best: 0.922 (CMX)
Concealed Object Detection arXiv:2102.10274
2D Object DetectiononPCOD_1200
S-Measure· 2021-02-20
0.882
best: 0.922 (CMX)
Concealed Object Detection arXiv:2102.10274
16konPCOD_1200
S-Measure· 2021-02-20
0.882
best: 0.922 (CMX)
Concealed Object Detection arXiv:2102.10274

Computer Vision12 results

Object DetectiononCAMO
MAE· 2021-02-20
0.07
best: 0.025 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
Object DetectiononCAMO
S-Measure· 2021-02-20
0.82
best: 0.912 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
Object DetectiononCAMO
Weighted F-Measure· 2021-02-20
0.743
best: 0.904 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
Camouflaged Object SegmentationonCAMO
MAE· 2021-02-20
0.07
best: 0.025 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
Camouflaged Object SegmentationonCAMO
S-Measure· 2021-02-20
0.82
best: 0.912 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
Camouflaged Object SegmentationonCAMO
Weighted F-Measure· 2021-02-20
0.743
best: 0.904 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
Object SegmentationonCAMO
MAE· 2021-02-20
0.07
best: 0.025 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
Object SegmentationonCAMO
S-Measure· 2021-02-20
0.82
best: 0.912 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
Object SegmentationonCAMO
Weighted F-Measure· 2021-02-20
0.743
best: 0.904 (FOCUS)
SOTA
Concealed Object Detection arXiv:2102.10274
Object DetectiononPCOD_1200
S-Measure· 2021-02-20
0.882
best: 0.922 (CMX)
Concealed Object Detection arXiv:2102.10274
Camouflaged Object SegmentationonPCOD_1200
S-Measure· 2021-02-20
0.882
best: 0.922 (CMX)
Concealed Object Detection arXiv:2102.10274
Object SegmentationonPCOD_1200
S-Measure· 2021-02-20
0.882
best: 0.922 (CMX)
Concealed Object Detection arXiv:2102.10274