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Models/CMNeXt (B4)

CMNeXt (B4)

Reported on 8 benchmarks across 4 tasks · 1 paper · 8 SOTA

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

Medical2 results

Semantic SegmentationonNoisy RS RGB-T Dataset
mIoU· 2023-03-02
60.3
SOTA
Delivering Arbitrary-Modal Semantic Segmentation arXiv:2303.01480
Semantic SegmentationonMFN Dataset
mIOU· 2023-03-02
59.9
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
Delivering Arbitrary-Modal Semantic Segmentation arXiv:2303.01480

Computer Vision2 results

Scene SegmentationonNoisy RS RGB-T Dataset
mIoU· 2023-03-02
60.3
SOTA
Delivering Arbitrary-Modal Semantic Segmentation arXiv:2303.01480
Scene SegmentationonMFN Dataset
mIOU· 2023-03-02
59.9
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
Delivering Arbitrary-Modal Semantic Segmentation arXiv:2303.01480

Methodology2 results

2D Object DetectiononNoisy RS RGB-T Dataset
mIoU· 2023-03-02
60.3
SOTA
Delivering Arbitrary-Modal Semantic Segmentation arXiv:2303.01480
2D Object DetectiononMFN Dataset
mIOU· 2023-03-02
59.9
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
Delivering Arbitrary-Modal Semantic Segmentation arXiv:2303.01480

Audio2 results

10-shot image generationonNoisy RS RGB-T Dataset
mIoU· 2023-03-02
60.3
SOTA
Delivering Arbitrary-Modal Semantic Segmentation arXiv:2303.01480
10-shot image generationonMFN Dataset
mIOU· 2023-03-02
59.9
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
Delivering Arbitrary-Modal Semantic Segmentation arXiv:2303.01480