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Models/ShapeConv

ShapeConv

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

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

Medical2 results

Semantic SegmentationonGAMUS
mIoU· 2021-08-24
55.86
best: 76.38 (TIMF)
SOTA
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation arXiv:2108.10528
Semantic SegmentationonRGB-T-Glass-Segmentation
MAE· 2021-08-24
0.054
best: 0.024 (RGB-T-Glass-Segmentation)
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation arXiv:2108.10528

Audio2 results

10-shot image generationonGAMUS
mIoU· 2021-08-24
55.86
best: 76.38 (TIMF)
SOTA
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation arXiv:2108.10528
10-shot image generationonRGB-T-Glass-Segmentation
MAE· 2021-08-24
0.054
best: 0.024 (RGB-T-Glass-Segmentation)
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation arXiv:2108.10528

Computer Vision1 result

Scene SegmentationonRGB-T-Glass-Segmentation
MAE· 2021-08-24
0.054
best: 0.024 (RGB-T-Glass-Segmentation)
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation arXiv:2108.10528

Methodology1 result

2D Object DetectiononRGB-T-Glass-Segmentation
MAE· 2021-08-24
0.054
best: 0.024 (RGB-T-Glass-Segmentation)
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation arXiv:2108.10528