Res16UNet14C

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 SegmentationonECLAIR
F1· 2024-04-16
0.845
SOTA
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation arXiv:2404.10699
Semantic SegmentationonECLAIR
Mean IoU· 2024-04-16
0.7729
SOTA
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation arXiv:2404.10699

Computer Vision2 results

3D Semantic SegmentationonECLAIR
F1· 2024-04-16
0.845
SOTA
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation arXiv:2404.10699
3D Semantic SegmentationonECLAIR
Mean IoU· 2024-04-16
0.7729
SOTA
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation arXiv:2404.10699

Audio2 results

10-shot image generationonECLAIR
F1· 2024-04-16
0.845
SOTA
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation arXiv:2404.10699
10-shot image generationonECLAIR
Mean IoU· 2024-04-16
0.7729
SOTA
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation arXiv:2404.10699