Image-level Supervised Instance Segmentation
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Benchmarks
Most implemented
Object Counting and Instance Segmentation with Image-level Supervision
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
Towards Partial Supervision for Generic Object Counting in Natural Scenes
Papers
WeakSAM: Segment Anything Meets Weakly-supervised Instance-level Recognition
Weakly supervised visual recognition using inexact supervision is a critical yet challenging learning problem. It significantly reduces human labeling costs and traditionally relies on multi-instance learning and pseudo-…
Image-level Supervised Instance Segmentationobject-detectionObject DetectionSegmentation+2Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement
Weakly-supervised instance segmentation (WSIS) has been considered as a more challenging task than weakly-supervised semantic segmentation (WSSS). Compared to WSSS, WSIS requires instance-wise localization, which is diff…
Image-level Supervised Instance SegmentationInstance SegmentationPoint-Supervised Instance SegmentationSegmentation+5Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
Weakly supervised semantic instance segmentation with only image-level supervision, instead of relying on expensive pixel wise masks or bounding box annotations, is an important problem to alleviate the data-hungry natur…
Image-level Supervised Instance SegmentationInstance SegmentationMultiple Instance LearningSegmentation+3Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances
Recent approaches for weakly supervised instance segmentations depend on two components: (i) a pseudo label generation model that provides instances which are consistent with a given annotation; and (ii) an instance segm…
Image-level Supervised Instance SegmentationInstance SegmentationPseudo LabelSegmentation+2Weakly Supervised Instance Segmentation by Deep Community Learning
We present a weakly supervised instance segmentation algorithm based on deep community learning with multiple tasks. This task is formulated as a combination of weakly supervised object detection and semantic segmentatio…
Image-level Supervised Instance SegmentationInstance Segmentationobject-detectionObject Detection+4Towards Partial Supervision for Generic Object Counting in Natural Scenes
Generic object counting in natural scenes is a challenging computer vision problem. Existing approaches either rely on instance-level supervision or absolute count information to train a generic object counter. We introd…
image-classificationImage ClassificationImage-level Supervised Instance SegmentationInstance Segmentation+3