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Models/MiB

MiB

Reported on 27 benchmarks across 6 tasks · 2 papers · 10 SOTA

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

Methodology20 results

Continual LearningonPASCAL VOC 2012
mIoU· 2020-02-03
39.9
best: 80.6 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Continual LearningonPASCAL VOC 2012
Mean IoU· 2020-02-03
65.9
best: 79 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Class Incremental LearningonPASCAL VOC 2012
mIoU· 2020-02-03
39.9
best: 80.6 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Class Incremental LearningonPASCAL VOC 2012
Mean IoU· 2020-02-03
65.9
best: 79 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Continual LearningonPASCAL VOC 2012
Mean IoU (val)· 2020-11-23
70.08
best: 82.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Continual LearningonPASCAL VOC 2012
mIoU· 2020-11-23
29.29
best: 80.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Continual LearningonADE20K
mIoU· 2020-11-23
25.96
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Continual LearningonADE20K
mIoU· 2020-11-23
32.79
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Continual LearningonADE20K
mIoU· 2020-11-23
29.31
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Continual LearningonADE20K
Mean IoU (test) · 2020-11-23
29.24
best: 44.5 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class Incremental LearningonPASCAL VOC 2012
Mean IoU (val)· 2020-11-23
70.08
best: 82.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class Incremental LearningonPASCAL VOC 2012
mIoU· 2020-11-23
29.29
best: 80.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class Incremental LearningonADE20K
mIoU· 2020-11-23
25.96
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class Incremental LearningonADE20K
mIoU· 2020-11-23
32.79
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class Incremental LearningonADE20K
mIoU· 2020-11-23
29.31
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class Incremental LearningonADE20K
Mean IoU (test) · 2020-11-23
29.24
best: 44.5 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Continual LearningonPASCAL VOC 2012
mIoU· 2020-02-03
20.1
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Continual LearningonPASCAL VOC 2012
mIoU· 2020-02-03
6.9
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Class Incremental LearningonPASCAL VOC 2012
mIoU· 2020-02-03
20.1
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Class Incremental LearningonPASCAL VOC 2012
mIoU· 2020-02-03
6.9
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718

Audio14 results

2D Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-02-03
39.9
best: 80.6 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
2D Semantic SegmentationonPASCAL VOC 2012
Mean IoU· 2020-02-03
65.9
best: 79 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
10-shot image generationonPASCAL VOC 2012
mIoU· 2020-02-03
39.9
best: 80.6 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
2D Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-11-23
29.29
best: 80.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
10-shot image generationonPASCAL VOC 2012
Mean IoU (val)· 2020-11-23
70.08
best: 82.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
10-shot image generationonPASCAL VOC 2012
mIoU· 2020-11-23
29.29
best: 80.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
10-shot image generationonADE20K
mIoU· 2020-11-23
25.96
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
10-shot image generationonADE20K
mIoU· 2020-11-23
32.79
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
10-shot image generationonADE20K
mIoU· 2020-11-23
29.31
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
10-shot image generationonADE20K
Mean IoU (test) · 2020-11-23
29.24
best: 44.5 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
2D Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-02-03
6.9
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
10-shot image generationonPASCAL VOC 2012
mIoU· 2020-02-03
20.1
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
10-shot image generationonPASCAL VOC 2012
Mean IoU· 2020-02-03
65.9
best: 79 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
10-shot image generationonPASCAL VOC 2012
mIoU· 2020-02-03
6.9
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718

Medical10 results

Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-02-03
39.9
best: 80.6 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Semantic SegmentationonPASCAL VOC 2012
Mean IoU (val)· 2020-11-23
70.08
best: 82.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-11-23
29.29
best: 80.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Semantic SegmentationonADE20K
mIoU· 2020-11-23
25.96
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Semantic SegmentationonADE20K
mIoU· 2020-11-23
32.79
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Semantic SegmentationonADE20K
mIoU· 2020-11-23
29.31
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Semantic SegmentationonADE20K
Mean IoU (test) · 2020-11-23
29.24
best: 44.5 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-02-03
20.1
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Semantic SegmentationonPASCAL VOC 2012
Mean IoU· 2020-02-03
65.9
best: 79 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-02-03
6.9
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718

Computer Vision10 results

Class-Incremental Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-02-03
39.9
best: 80.6 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Class-Incremental Semantic SegmentationonPASCAL VOC 2012
Mean IoU· 2020-02-03
65.9
best: 79 (MBS)
SOTA
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Class-Incremental Semantic SegmentationonPASCAL VOC 2012
Mean IoU (val)· 2020-11-23
70.08
best: 82.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class-Incremental Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-11-23
29.29
best: 80.6 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class-Incremental Semantic SegmentationonADE20K
mIoU· 2020-11-23
25.96
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class-Incremental Semantic SegmentationonADE20K
mIoU· 2020-11-23
32.79
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class-Incremental Semantic SegmentationonADE20K
mIoU· 2020-11-23
29.31
best: 45.7 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class-Incremental Semantic SegmentationonADE20K
Mean IoU (test) · 2020-11-23
29.24
best: 44.5 (MBS)
PLOP: Learning without Forgetting for Continual Semantic Segmentation arXiv:2011.11390
Class-Incremental Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-02-03
20.1
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718
Class-Incremental Semantic SegmentationonPASCAL VOC 2012
mIoU· 2020-02-03
6.9
best: 80.6 (MBS)
Modeling the Background for Incremental Learning in Semantic Segmentation arXiv:2002.00718