DeepLabV2

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

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

Medical2 results

Semantic SegmentationonSELMA
mIoU· 2016-06-02
68.9
best: 91.7 (CMX)
SOTA
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs arXiv:1606.00915
Semantic SegmentationonPASCAL Context
mIoU· 2016-06-02
45.7
best: 71.1 (VPNeXt)
SOTA
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs arXiv:1606.00915

Audio2 results

10-shot image generationonSELMA
mIoU· 2016-06-02
68.9
best: 91.7 (CMX)
SOTA
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs arXiv:1606.00915
10-shot image generationonPASCAL Context
mIoU· 2016-06-02
45.7
best: 71.1 (VPNeXt)
SOTA
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs arXiv:1606.00915