Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/PiCIE (ResNet-50)

PiCIE (ResNet-50)

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-171
Pixel Accuracy· 2021-03-30
29.8
best: 46.6 (CAUSE-TR (ViT-S/8))
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070
Semantic SegmentationonCOCO-Stuff-171
mIoU· 2021-03-30
5.6
best: 34 (CorrCLIP)
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070

Computer Vision2 results

Unsupervised Semantic SegmentationonCOCO-Stuff-171
Pixel Accuracy· 2021-03-30
29.8
best: 46.6 (CAUSE-TR (ViT-S/8))
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070
Unsupervised Semantic SegmentationonCOCO-Stuff-171
mIoU· 2021-03-30
5.6
best: 34 (CorrCLIP)
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070

Audio2 results

10-shot image generationonCOCO-Stuff-171
Pixel Accuracy· 2021-03-30
29.8
best: 46.6 (CAUSE-TR (ViT-S/8))
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070
10-shot image generationonCOCO-Stuff-171
mIoU· 2021-03-30
5.6
best: 34 (CorrCLIP)
SOTA
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering arXiv:2103.17070