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/U2Seg

U2Seg

Reported on 27 benchmarks across 7 tasks · 1 paper · 18 SOTA

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

Computer Vision29 results

Unsupervised Instance SegmentationonCOCO val2017
AR100· 2023-12-28
18.5
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonWaymo Open Dataset
PQ· 2023-12-28
19.8
best: 27.3 (CUPS (54 pseudo-classes))
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonCOCO val2017
PQ· 2023-12-28
16.1
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonCOCO val2017
RQ· 2023-12-28
19.9
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonCOCO val2017
SQ· 2023-12-28
71.1
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonMUSES: MUlti-SEnsor Semantic perception dataset
PQ· 2023-12-28
20.3
best: 28.2 (CUPS (40 pseudo-classes))
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonBDD100K val
PQ· 2023-12-28
15.8
best: 21.9 (CUPS (40 pseudo-classes))
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonKITTI
PQ· 2023-12-28
20.6
best: 28.5 (CUPS (54 pseudo-classes))
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Zero-Shot Panoptic SegmentationonCOCO val2017
PQ· 2023-12-28
11.1
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Zero-Shot Panoptic SegmentationonCOCO val2017
RQ· 2023-12-28
13.7
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Zero-Shot Panoptic SegmentationonCOCO val2017
SQ· 2023-12-28
60.1
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonWaymo Open Dataset
PQ· 2023-12-28
19.8
best: 27.3 (CUPS (54 pseudo-classes))
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonCOCO val2017
PQ· 2023-12-28
16.1
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonCOCO val2017
RQ· 2023-12-28
19.9
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonCOCO val2017
SQ· 2023-12-28
71.1
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonMUSES: MUlti-SEnsor Semantic perception dataset
PQ· 2023-12-28
20.3
best: 28.2 (CUPS (40 pseudo-classes))
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonBDD100K val
PQ· 2023-12-28
15.8
best: 21.9 (CUPS (40 pseudo-classes))
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonKITTI
PQ· 2023-12-28
20.6
best: 28.5 (CUPS (54 pseudo-classes))
SOTA
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Semantic SegmentationonCOCO-Stuff-27
Clustering [Accuracy]· 2023-12-28
63.9
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Semantic SegmentationonCOCO-Stuff-27
Clustering [mIoU]· 2023-12-28
30.2
best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Instance SegmentationonCOCO val2017
AP· 2023-12-28
6.4
best: 10.2 (CutS3D (DiffNCuts))
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Instance SegmentationonCOCO val2017
AP50· 2023-12-28
11.2
best: 20.1 (CutS3D (DiffNCuts))
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Instance SegmentationonCOCO val2017
AP75· 2023-12-28
6.4
best: 9.7 (CutLER (Cascade+DINO))
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonCOCO val2017
PQ· 2023-12-28
11.1
best: 16.1
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonCOCO val2017
RQ· 2023-12-28
13.7
best: 19.9
Unsupervised Universal Image Segmentation arXiv:2312.17243
Unsupervised Panoptic SegmentationonCOCO val2017
SQ· 2023-12-28
60.1
best: 71.1
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonCOCO val2017
PQ· 2023-12-28
11.1
best: 16.1
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonCOCO val2017
RQ· 2023-12-28
13.7
best: 19.9
Unsupervised Universal Image Segmentation arXiv:2312.17243
2D Panoptic SegmentationonCOCO val2017
SQ· 2023-12-28
60.1
best: 71.1
Unsupervised Universal Image Segmentation arXiv:2312.17243

Medical2 results

Semantic SegmentationonCOCO-Stuff-27
Clustering [Accuracy]· 2023-12-28
63.9
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
Unsupervised Universal Image Segmentation arXiv:2312.17243
Semantic SegmentationonCOCO-Stuff-27
Clustering [mIoU]· 2023-12-28
30.2
best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
Unsupervised Universal Image Segmentation arXiv:2312.17243

Audio2 results

10-shot image generationonCOCO-Stuff-27
Clustering [Accuracy]· 2023-12-28
63.9
best: 81.1 (DynaSeg - FSF (ResNet-18 FPN))
Unsupervised Universal Image Segmentation arXiv:2312.17243
10-shot image generationonCOCO-Stuff-27
Clustering [mIoU]· 2023-12-28
30.2
best: 54.1 (DynaSeg - FSF (ResNet-18 FPN))
Unsupervised Universal Image Segmentation arXiv:2312.17243