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Reported on 24 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Medical12 results

Semantic SegmentationonScribbleKITTI
mIoU (50% Labels)· 2021-06-02
54.6
best: 58.7 (LaserMix (Range View))
SOTA
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonScribbleKITTI
mIoU (1% Labels)· 2021-06-02
33.7
best: 44.2 (LaserMix (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonScribbleKITTI
mIoU (10% Labels)· 2021-06-02
50
best: 54.4 (LaserMix (Range View))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonScribbleKITTI
mIoU (20% Labels)· 2021-06-02
52.8
best: 55.6 (LaserMix (Range View))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonSemanticKITTI
mIoU (1% Labels)· 2021-06-02
36.5
best: 61.1 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonSemanticKITTI
mIoU (10% Labels)· 2021-06-02
52.3
best: 64 (SAPCA (Cylinder3D))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonSemanticKITTI
mIoU (20% Labels)· 2021-06-02
56.3
best: 64.2 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonSemanticKITTI
mIoU (50% Labels)· 2021-06-02
57.4
best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonnuScenes
mIoU (1% Labels)· 2021-06-02
40.7
best: 62.9 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonnuScenes
mIoU (10% Labels)· 2021-06-02
60.8
best: 74.3 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonnuScenes
mIoU (20% Labels)· 2021-06-02
64.9
best: 76 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
Semantic SegmentationonnuScenes
mIoU (50% Labels)· 2021-06-02
68
best: 76.1 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226

Audio12 results

10-shot image generationonScribbleKITTI
mIoU (50% Labels)· 2021-06-02
54.6
best: 58.7 (LaserMix (Range View))
SOTA
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonScribbleKITTI
mIoU (1% Labels)· 2021-06-02
33.7
best: 44.2 (LaserMix (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonScribbleKITTI
mIoU (10% Labels)· 2021-06-02
50
best: 54.4 (LaserMix (Range View))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonScribbleKITTI
mIoU (20% Labels)· 2021-06-02
52.8
best: 55.6 (LaserMix (Range View))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonSemanticKITTI
mIoU (1% Labels)· 2021-06-02
36.5
best: 61.1 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonSemanticKITTI
mIoU (10% Labels)· 2021-06-02
52.3
best: 64 (SAPCA (Cylinder3D))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonSemanticKITTI
mIoU (20% Labels)· 2021-06-02
56.3
best: 64.2 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonSemanticKITTI
mIoU (50% Labels)· 2021-06-02
57.4
best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonnuScenes
mIoU (1% Labels)· 2021-06-02
40.7
best: 62.9 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonnuScenes
mIoU (10% Labels)· 2021-06-02
60.8
best: 74.3 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonnuScenes
mIoU (20% Labels)· 2021-06-02
64.9
best: 76 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226
10-shot image generationonnuScenes
mIoU (50% Labels)· 2021-06-02
68
best: 76.1 (PLE (Voxel))
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision arXiv:2106.01226