Unsupervised Instance Segmentation
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Benchmarks
COCO val2017
UVO
Most implemented
Unsupervised Universal Image Segmentation
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
Part2Object: Hierarchical Unsupervised 3D Instance Segmentation
DETReg: Unsupervised Pretraining with Region Priors for Object Detection
Papers
S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation
In recent years, the state-of-the-art in unsupervised video instance segmentation has heavily relied on synthetic video data, generated from object-centric image datasets such as ImageNet. However, video synthesis by art…
Unsupervised Instance SegmentationVideo Instance SegmentationUnsupervised Instance Segmentation with Superpixels
Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance seg…
Unsupervised Instance SegmentationAutonomous DrivingObject DetectionEnhancing Object Discovery for Unsupervised Instance Segmentation and Object Detection
We propose Cut-Once-and-LEaRn (COLER), a simple approach for unsupervised instance segmentation and object detection. COLER first uses our developed CutOnce to generate coarse pseudo labels, then enables the detector to …
Unsupervised Instance SegmentationUnsupervised Object LocalizationObject SegmentationObject DetectionSegVec3D: A Method for Vector Embedding of 3D Objects Oriented Towards Robot manipulation
We propose SegVec3D, a novel framework for 3D point cloud instance segmentation that integrates attention mechanisms, embedding learning, and cross-modal alignment. The approach builds a hierarchical feature extractor to…
Unsupervised Instance SegmentationNatural Language QueriesRobot ManipulationCutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
Traditionally, algorithms that learn to segment object instances in 2D images have heavily relied on large amounts of human-annotated data. Only recently, novel approaches have emerged tackling this problem in an unsuper…
Instance Segmentationobject-detectionObject DetectionSemantic Segmentation+1ProMerge: Prompt and Merge for Unsupervised Instance Segmentation
Unsupervised instance segmentation aims to segment distinct object instances in an image without relying on human-labeled data. This field has recently seen significant advancements, partly due to the strong local corres…
Instance SegmentationSemantic SegmentationUnsupervised Instance Segmentation