TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

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

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

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

SotA/Computer Vision/Instance Segmentation/PASCAL VOC 2012 val

Instance Segmentation on PASCAL VOC 2012 val

Metric: mAP@0.7 (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕mAP@0.7▼Extra DataPaperDate↕Code
1WeakSAM-Mask2Former (with SAM)49.7NoWeakSAM: Segment Anything Meets Weakly-supervise...2024-02-22Code
2WeakSAM-Mask RCNN (with SAM)43.1NoWeakSAM: Segment Anything Meets Weakly-supervise...2024-02-22Code
3CIM + Mask R-CNN37.1YesComplete Instances Mining for Weakly Supervised ...2024-02-12Code
4CIM + Mask R-CNN36.6YesComplete Instances Mining for Weakly Supervised ...2024-02-12Code
5BESTIE (proposal-free)36.5NoBeyond Semantic to Instance Segmentation: Weakly...2021-09-20Code
6CIM32.4YesComplete Instances Mining for Weakly Supervised ...2024-02-12Code
7BESTIE (proposal-free)31.9NoBeyond Semantic to Instance Segmentation: Weakly...2021-09-20Code
8Arun et al.30.2YesWeakly Supervised Instance Segmentation by Learn...2020-07-18-
9IRN (proposal-free)23.5NoWeakly Supervised Learning of Instance Segmentat...2019-04-10Code