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/MaskDistill

MaskDistill

Reported on 6 benchmarks across 3 tasks · 1 paper

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

Medical2 results

Semantic SegmentationonPASCAL VOC 2012 val
Clustering [mIoU]· uses extra data· 2022-06-13
45.8
best: 53.4 (CAUSE (iBOT, ViT-B/16))
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation arXiv:2206.06363
Semantic SegmentationonPASCAL VOC 2012 val
Linear Classifier [mIoU]· uses extra data· 2022-06-13
58.7
best: 75.7 (HCL (ViT-S/8))
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation arXiv:2206.06363

Computer Vision2 results

Unsupervised Semantic SegmentationonPASCAL VOC 2012 val
Clustering [mIoU]· uses extra data· 2022-06-13
45.8
best: 53.4 (CAUSE (iBOT, ViT-B/16))
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation arXiv:2206.06363
Unsupervised Semantic SegmentationonPASCAL VOC 2012 val
Linear Classifier [mIoU]· uses extra data· 2022-06-13
58.7
best: 75.7 (HCL (ViT-S/8))
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation arXiv:2206.06363

Audio2 results

10-shot image generationonPASCAL VOC 2012 val
Clustering [mIoU]· uses extra data· 2022-06-13
45.8
best: 53.4 (CAUSE (iBOT, ViT-B/16))
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation arXiv:2206.06363
10-shot image generationonPASCAL VOC 2012 val
Linear Classifier [mIoU]· uses extra data· 2022-06-13
58.7
best: 75.7 (HCL (ViT-S/8))
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation arXiv:2206.06363