Weakly-supervised instance segmentation
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Benchmarks
Most implemented
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision
Pointly-Supervised Instance Segmentation
Synthetic Instance Segmentation from Semantic Image Segmentation Masks
BoxInst: High-Performance Instance Segmentation with Box Annotations
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
Complete Instances Mining for Weakly Supervised Instance Segmentation
Papers
WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
Instance segmentation traditionally relies on dense pixel-level annotations, making it costly and labor-intensive. To alleviate this burden, weakly supervised instance segmentation utilizes cost-effective weak labels…
Instance SegmentationSegmentationSemantic SegmentationWeakly-supervised instance segmentationFine-grained Background Representation for Weakly Supervised Semantic Segmentation
Generating reliable pseudo masks from image-level labels is challenging in the weakly supervised semantic segmentation (WSSS) task due to the lack of spatial information. Prevalent class activation map (CAM)-based soluti…
Contrastive LearningInstance SegmentationSemantic SegmentationWeakly-supervised instance segmentation+2BAISeg: Boundary Assisted Weakly Supervised Instance Segmentation
How to extract instance-level masks without instance-level supervision is the main challenge of weakly supervised instance segmentation (WSIS). Popular WSIS methods estimate a displacement field (DF) via learning inter-p…
Boundary DetectionClusteringInstance SegmentationSegmentation+2Boosting Box-supervised Instance Segmentation with Pseudo Depth
The realm of Weakly Supervised Instance Segmentation (WSIS) under box supervision has garnered substantial attention, showcasing remarkable advancements in recent years. However, the limitations of box supervision become…
Box-supervised Instance SegmentationDepth EstimationDepth PredictionInstance Segmentation+3Complete Instances Mining for Weakly Supervised Instance Segmentation
Weakly supervised instance segmentation (WSIS) using only image-level labels is a challenging task due to the difficulty of aligning coarse annotations with the finer task. However, with the advancement of deep neural ne…
Instance SegmentationSegmentationSemantic SegmentationWeakly-supervised instance segmentationMWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving
Instance segmentation is a fundamental research in computer vision, especially in autonomous driving. However, manual mask annotation for instance segmentation is quite time-consuming and costly. To address this problem,…
3D Instance SegmentationAutonomous DrivingInstance SegmentationSegmentation+2