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Models/CSFNet-1

CSFNet-1

Reported on 12 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.

Medical6 results

  • Semantic SegmentationonZJU-RGB-P
    Frame (fps)· 2024-07-01
    108.5
    SOTA
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • Semantic SegmentationonCityscapes val
    mIoU· 2024-07-01
    74.73
    best: 90.3 (EfficientPS (Cityscapes-fine))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • Semantic SegmentationonZJU-RGB-P
    mIoU· 2024-07-01
    90.85
    best: 93 (RoadFormer+ (ConvNeXt-L, RGB-AoLP))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • Semantic SegmentationonMFN Dataset
    mIOU· 2024-07-01
    56.05
    best: 62.7 (RoadFormer+ (ConvNeXt-L))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • Semantic SegmentationonCityscapes val
    Frame (fps)· 2024-07-01
    106.1
    best: 163.9 (FasterSeg)
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • Semantic SegmentationonCityscapes val
    mIoU· 2024-07-01
    74.73
    best: 90.3 (EfficientPS (Cityscapes-fine))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328

Audio6 results

  • 10-shot image generationonZJU-RGB-P
    Frame (fps)· 2024-07-01
    108.5
    SOTA
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • 10-shot image generationonCityscapes val
    mIoU· 2024-07-01
    74.73
    best: 90.3 (EfficientPS (Cityscapes-fine))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • 10-shot image generationonZJU-RGB-P
    mIoU· 2024-07-01
    90.85
    best: 93 (RoadFormer+ (ConvNeXt-L, RGB-AoLP))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • 10-shot image generationonMFN Dataset
    mIOU· 2024-07-01
    56.05
    best: 62.7 (RoadFormer+ (ConvNeXt-L))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • 10-shot image generationonCityscapes val
    Frame (fps)· 2024-07-01
    106.1
    best: 163.9 (FasterSeg)
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328
  • 10-shot image generationonCityscapes val
    mIoU· 2024-07-01
    74.73
    best: 90.3 (EfficientPS (Cityscapes-fine))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328

Computer Vision1 result

  • Scene SegmentationonMFN Dataset
    mIOU· 2024-07-01
    56.05
    best: 62.7 (RoadFormer+ (ConvNeXt-L))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328

Methodology1 result

  • 2D Object DetectiononMFN Dataset
    mIOU· 2024-07-01
    56.05
    best: 62.7 (RoadFormer+ (ConvNeXt-L))
    CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesarXiv:2407.01328