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Models/EQ-Net

EQ-Net

Reported on 6 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Medical3 results

Semantic SegmentationonScanNet
val mIoU· 2022-03-02
75.3
best: 80.5 (DITR)
SOTA
A Unified Query-based Paradigm for Point Cloud Understanding arXiv:2203.01252
Semantic SegmentationonS3DIS
Mean IoU· 2022-03-02
77.5
best: 82.3 (Sonata + PTv3)
SOTA
A Unified Query-based Paradigm for Point Cloud Understanding arXiv:2203.01252
Semantic SegmentationonScanNet
test mIoU· 2022-03-02
74.3
best: 79.8 (PTv3 ARKit LabelMaker)
A Unified Query-based Paradigm for Point Cloud Understanding arXiv:2203.01252

Audio3 results

10-shot image generationonScanNet
val mIoU· 2022-03-02
75.3
best: 80.5 (DITR)
SOTA
A Unified Query-based Paradigm for Point Cloud Understanding arXiv:2203.01252
10-shot image generationonS3DIS
Mean IoU· 2022-03-02
77.5
best: 82.3 (Sonata + PTv3)
SOTA
A Unified Query-based Paradigm for Point Cloud Understanding arXiv:2203.01252
10-shot image generationonScanNet
test mIoU· 2022-03-02
74.3
best: 79.8 (PTv3 ARKit LabelMaker)
A Unified Query-based Paradigm for Point Cloud Understanding arXiv:2203.01252