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Models/PiCIE + H

PiCIE + H

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Medical2 results

Semantic SegmentationonCOCO-Stuff-27
Clustering [Accuracy]· 2021-03-30
49.99
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070
Semantic SegmentationonCOCO-Stuff-27
Clustering [mIoU]· 2021-03-30
14.36
best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070

Computer Vision2 results

Unsupervised Semantic SegmentationonCOCO-Stuff-27
Clustering [Accuracy]· 2021-03-30
49.99
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070
Unsupervised Semantic SegmentationonCOCO-Stuff-27
Clustering [mIoU]· 2021-03-30
14.36
best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070

Audio2 results

10-shot image generationonCOCO-Stuff-27
Clustering [Accuracy]· 2021-03-30
49.99
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070
10-shot image generationonCOCO-Stuff-27
Clustering [mIoU]· 2021-03-30
14.36
best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070