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Models/EMSANet

EMSANet

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 SegmentationonNYU Depth v2
PQ· 2022-07-10
47.38
best: 51.15 (EMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned))
SOTA
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments arXiv:2207.04526
Semantic SegmentationonSUN-RGBD
PQ· 2022-07-10
52.84
SOTA
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments arXiv:2207.04526

Audio2 results

10-shot image generationonNYU Depth v2
PQ· 2022-07-10
47.38
best: 51.15 (EMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned))
SOTA
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments arXiv:2207.04526
10-shot image generationonSUN-RGBD
PQ· 2022-07-10
52.84
SOTA
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments arXiv:2207.04526

Computer Vision2 results

Panoptic SegmentationonNYU Depth v2
PQ· 2022-07-10
47.38
best: 51.15 (EMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned))
SOTA
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments arXiv:2207.04526
Panoptic SegmentationonSUN-RGBD
PQ· 2022-07-10
52.84
SOTA
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments arXiv:2207.04526