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Models/DPLNet

DPLNet

Reported on 10 benchmarks across 4 tasks · 1 paper

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

Medical3 results

Semantic SegmentationonNYU Depth v2
Mean IoU· 2023-12-01
59.3
best: 63.6 (OmniVec2)
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360
Semantic SegmentationonPST900
mIoU· 2023-12-01
86.7
best: 89.8 (SHIFNet)
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360
Semantic SegmentationonMFN Dataset
mIOU· 2023-12-01
59.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360

Audio3 results

10-shot image generationonNYU Depth v2
Mean IoU· 2023-12-01
59.3
best: 63.6 (OmniVec2)
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360
10-shot image generationonPST900
mIoU· 2023-12-01
86.7
best: 89.8 (SHIFNet)
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360
10-shot image generationonMFN Dataset
mIOU· 2023-12-01
59.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360

Computer Vision2 results

Scene SegmentationonPST900
mIoU· 2023-12-01
86.7
best: 89.8 (SHIFNet)
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360
Scene SegmentationonMFN Dataset
mIOU· 2023-12-01
59.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360

Methodology2 results

2D Object DetectiononPST900
mIoU· 2023-12-01
86.7
best: 89.8 (SHIFNet)
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360
2D Object DetectiononMFN Dataset
mIOU· 2023-12-01
59.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning arXiv:2312.00360