Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/MI-max

MI-max

Reported on 25 benchmarks across 5 tasks · 2 papers · 10 SOTA

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

Methodology24 results

3DonCASPAPaintings
Mean mAP· 2020-08-03
16.2
SOTA
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
2D ClassificationonCASPAPaintings
Mean mAP· 2020-08-03
16.2
SOTA
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
2D Object DetectiononCASPAPaintings
Mean mAP· 2020-08-03
16.2
SOTA
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
16konCASPAPaintings
Mean mAP· 2020-08-03
16.2
SOTA
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
3DonPeopleArt
MAP· 2018-10-05
55.4
best: 58.3 (Polyhedral MI-max)
SOTA
Weakly Supervised Object Detection in Artworks arXiv:1810.02569
2D ClassificationonPeopleArt
MAP· 2018-10-05
55.4
best: 58.3 (Polyhedral MI-max)
SOTA
Weakly Supervised Object Detection in Artworks arXiv:1810.02569
2D Object DetectiononPeopleArt
MAP· 2018-10-05
55.4
best: 58.3 (Polyhedral MI-max)
SOTA
Weakly Supervised Object Detection in Artworks arXiv:1810.02569
16konPeopleArt
MAP· 2018-10-05
55.4
best: 58.3 (Polyhedral MI-max)
SOTA
Weakly Supervised Object Detection in Artworks arXiv:1810.02569
3DonComic2k
MAP· 2020-08-03
27
best: 67.41 (DASS-Detector (YOLOX Tiny))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
3DonWatercolor2k
MAP· 2020-08-03
49.5
best: 72.2 (TADP)
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
3DonClipart1k
MAP· 2020-08-03
38.4
best: 69.8 (H2FA R-CNN (clipart_all))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
2D ClassificationonComic2k
MAP· 2020-08-03
27
best: 67.41 (DASS-Detector (YOLOX Tiny))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
2D ClassificationonWatercolor2k
MAP· 2020-08-03
49.5
best: 72.2 (TADP)
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
2D ClassificationonClipart1k
MAP· 2020-08-03
38.4
best: 69.8 (H2FA R-CNN (clipart_all))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
2D Object DetectiononComic2k
MAP· 2020-08-03
27
best: 67.41 (DASS-Detector (YOLOX Tiny))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
2D Object DetectiononWatercolor2k
MAP· 2020-08-03
49.5
best: 72.2 (TADP)
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
2D Object DetectiononClipart1k
MAP· 2020-08-03
38.4
best: 69.8 (H2FA R-CNN (clipart_all))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
16konComic2k
MAP· 2020-08-03
27
best: 67.41 (DASS-Detector (YOLOX Tiny))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
16konWatercolor2k
MAP· 2020-08-03
49.5
best: 72.2 (TADP)
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
16konClipart1k
MAP· 2020-08-03
38.4
best: 69.8 (H2FA R-CNN (clipart_all))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
3DonWatercolor2k
MAP· 2018-10-05
50.1
best: 72.2 (TADP)
Weakly Supervised Object Detection in Artworks arXiv:1810.02569
2D ClassificationonWatercolor2k
MAP· 2018-10-05
50.1
best: 72.2 (TADP)
Weakly Supervised Object Detection in Artworks arXiv:1810.02569
2D Object DetectiononWatercolor2k
MAP· 2018-10-05
50.1
best: 72.2 (TADP)
Weakly Supervised Object Detection in Artworks arXiv:1810.02569
16konWatercolor2k
MAP· 2018-10-05
50.1
best: 72.2 (TADP)
Weakly Supervised Object Detection in Artworks arXiv:1810.02569

Computer Vision6 results

Object DetectiononCASPAPaintings
Mean mAP· 2020-08-03
16.2
SOTA
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
Object DetectiononPeopleArt
MAP· 2018-10-05
55.4
best: 58.3 (Polyhedral MI-max)
SOTA
Weakly Supervised Object Detection in Artworks arXiv:1810.02569
Object DetectiononComic2k
MAP· 2020-08-03
27
best: 67.41 (DASS-Detector (YOLOX Tiny))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
Object DetectiononWatercolor2k
MAP· 2020-08-03
49.5
best: 72.2 (TADP)
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
Object DetectiononClipart1k
MAP· 2020-08-03
38.4
best: 69.8 (H2FA R-CNN (clipart_all))
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts arXiv:2008.01178
Object DetectiononWatercolor2k
MAP· 2018-10-05
50.1
best: 72.2 (TADP)
Weakly Supervised Object Detection in Artworks arXiv:1810.02569