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Models/WSOD2

WSOD2

Reported on 10 benchmarks across 5 tasks · 1 paper

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

Methodology8 results

3DonPASCAL VOC 2007
MAP· 2019-09-11
53.6
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972
3DonPASCAL VOC 2012 test
MAP· 2019-09-11
47.2
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972
2D ClassificationonPASCAL VOC 2007
MAP· 2019-09-11
53.6
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972
2D ClassificationonPASCAL VOC 2012 test
MAP· 2019-09-11
47.2
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972
2D Object DetectiononPASCAL VOC 2007
MAP· 2019-09-11
53.6
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972
2D Object DetectiononPASCAL VOC 2012 test
MAP· 2019-09-11
47.2
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972
16konPASCAL VOC 2007
MAP· 2019-09-11
53.6
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972
16konPASCAL VOC 2012 test
MAP· 2019-09-11
47.2
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972

Computer Vision2 results

Object DetectiononPASCAL VOC 2007
MAP· 2019-09-11
53.6
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972
Object DetectiononPASCAL VOC 2012 test
MAP· 2019-09-11
47.2
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection arXiv:1909.04972