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Models/CAC

CAC

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Medical2 results

Semantic SegmentationonScanNet++
Top-1 IoU· 2023-03-21
0.483
best: 0.525 (DITR)
SOTA
Learning Context-aware Classifier for Semantic Segmentation arXiv:2303.11633
Semantic SegmentationonScanNet++
Top-3 IoU· 2023-03-21
0.712
best: 0.762 (DITR)
SOTA
Learning Context-aware Classifier for Semantic Segmentation arXiv:2303.11633

Computer Vision2 results

3D Semantic SegmentationonScanNet++
Top-1 IoU· 2023-03-21
0.483
best: 0.525 (DITR)
SOTA
Learning Context-aware Classifier for Semantic Segmentation arXiv:2303.11633
3D Semantic SegmentationonScanNet++
Top-3 IoU· 2023-03-21
0.712
best: 0.762 (DITR)
SOTA
Learning Context-aware Classifier for Semantic Segmentation arXiv:2303.11633

Audio2 results

10-shot image generationonScanNet++
Top-1 IoU· 2023-03-21
0.483
best: 0.525 (DITR)
SOTA
Learning Context-aware Classifier for Semantic Segmentation arXiv:2303.11633
10-shot image generationonScanNet++
Top-3 IoU· 2023-03-21
0.712
best: 0.762 (DITR)
SOTA
Learning Context-aware Classifier for Semantic Segmentation arXiv:2303.11633