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Models/SegNet

SegNet

Reported on 24 benchmarks across 5 tasks · 1 paper · 9 SOTA

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

Medical14 results

Medical Image SegmentationonRITE
Jaccard Index· 2015-11-02
39.14
best: 60.37 (KiU-Net)
SOTA
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
Dice· 2015-11-02
0.2767
best: 0.4867 (X-Net)
SOTA
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
IoU· 2015-11-02
0.1911
best: 0.3803 (MGA-Net)
SOTA
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
Precision· 2015-11-02
0.3938
best: 0.6773 (MGA-Net)
SOTA
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Medical Image SegmentationonAnatomical Tracings of Lesions After Stroke (ATLAS)
Recall· 2015-11-02
0.2532
best: 0.4752 (X-Net)
SOTA
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Semantic SegmentationonTLCGIS
IoU· 2015-11-02
77.8
best: 84.2 (SA-Gate)
SOTA
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Semantic SegmentationonCamVid
Time (ms)· 2015-11-02
217
best: 227 (Dilation10)
SOTA
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Medical Image SegmentationonRITE
Dice· 2015-11-02
52.23
best: 75.17 (KiU-Net)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Semantic SegmentationonSkyScapes-Dense
Mean IoU· 2015-11-02
23.14
best: 40.13 (SkyScapesNet-Dense)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Semantic SegmentationonADE20K
Validation mIoU· 2015-11-02
21.64
best: 63.6 (ViT-P (InternImage-H))
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Semantic SegmentationonSUN-RGBD
Mean IoU· 2015-11-02
31.84
best: 54.6 (GeminiFusion (Swin-Large))
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Semantic SegmentationonMFN Dataset
mIOU· 2015-11-02
42.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Semantic SegmentationonCamVid
Frame (fps)· 2015-11-02
4.6
best: 222.3 (PP-LiteSeg-T)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Medical Image SegmentationonPH2
IoU
93.61

Audio7 results

10-shot image generationonTLCGIS
IoU· 2015-11-02
77.8
best: 84.2 (SA-Gate)
SOTA
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
10-shot image generationonCamVid
Time (ms)· 2015-11-02
217
best: 227 (Dilation10)
SOTA
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
10-shot image generationonSkyScapes-Dense
Mean IoU· 2015-11-02
23.14
best: 40.13 (SkyScapesNet-Dense)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
10-shot image generationonADE20K
Validation mIoU· 2015-11-02
21.64
best: 63.6 (ViT-P (InternImage-H))
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
10-shot image generationonSUN-RGBD
Mean IoU· 2015-11-02
31.84
best: 54.6 (GeminiFusion (Swin-Large))
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
10-shot image generationonMFN Dataset
mIOU· 2015-11-02
42.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
10-shot image generationonCamVid
Frame (fps)· 2015-11-02
4.6
best: 222.3 (PP-LiteSeg-T)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561

Computer Vision2 results

Scene SegmentationonSUN-RGBD
Mean IoU· 2015-11-02
31.84
best: 50.6 (ICM)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561
Scene SegmentationonMFN Dataset
mIOU· 2015-11-02
42.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561

Methodology1 result

2D Object DetectiononMFN Dataset
mIOU· 2015-11-02
42.3
best: 62.7 (RoadFormer+ (ConvNeXt-L))
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation arXiv:1511.00561