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Models/HAPNet

HAPNet

Reported on 16 benchmarks across 4 tasks · 1 paper · 14 SOTA

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

Medical5 results

Semantic SegmentationonNYU Depth v2
Mean Accuracy· 2024-04-04
68.8
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
Semantic SegmentationonKP day-night
mIoU· 2024-04-04
57.6
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
Semantic SegmentationonPST900
mIoU· 2024-04-04
89
best: 89.8 (SHIFNet)
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
Semantic SegmentationonMFN Dataset
mIOU· 2024-04-04
61.5
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
Semantic SegmentationonNYU Depth v2
Mean IoU· 2024-04-04
55
best: 63.6 (OmniVec2)
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527

Audio5 results

10-shot image generationonNYU Depth v2
Mean Accuracy· 2024-04-04
68.8
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
10-shot image generationonKP day-night
mIoU· 2024-04-04
57.6
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
10-shot image generationonPST900
mIoU· 2024-04-04
89
best: 89.8 (SHIFNet)
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
10-shot image generationonMFN Dataset
mIOU· 2024-04-04
61.5
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
10-shot image generationonNYU Depth v2
Mean IoU· 2024-04-04
55
best: 63.6 (OmniVec2)
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527

Computer Vision3 results

Scene SegmentationonKP day-night
mIoU· 2024-04-04
57.6
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
Scene SegmentationonPST900
mIoU· 2024-04-04
89
best: 89.8 (SHIFNet)
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
Scene SegmentationonMFN Dataset
mIOU· 2024-04-04
61.5
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527

Methodology3 results

2D Object DetectiononKP day-night
mIoU· 2024-04-04
57.6
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
2D Object DetectiononPST900
mIoU· 2024-04-04
89
best: 89.8 (SHIFNet)
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527
2D Object DetectiononMFN Dataset
mIOU· 2024-04-04
61.5
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SOTA
HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion arXiv:2404.03527