Machine learningDeep learning / NLP / CV
Instance Segmentation
Instance segmentation is a computer vision task that simultaneously detects every distinct object in an image and produces a precise pixel-level mask for each individual object instance. Unlike semantic segmentation, which labels every pixel with a class, instance segmentation distinguishes between separate objects of the same class, enabling fine-grained spatial understanding.
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Sources
- He, K., Gkioxari, G., Dollar, P., & Girshick, R. (2017). Mask R-CNN. Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2961–2969. DOI: 10.1109/ICCV.2017.322 ↗
- Instance segmentation. Wikipedia. link ↗
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Referenced by
Domain-adaptive Instance SegmentationExplainable Instance SegmentationExplainable Object DetectionExplainable Semantic SegmentationFine-Tuned Semantic SegmentationMultilingual Semantic SegmentationMultimodal Instance SegmentationMultimodal Semantic SegmentationObject DetectionSelf-supervised Instance SegmentationSelf-supervised Semantic SegmentationSemantic SegmentationSemi-supervised Instance SegmentationSemi-supervised Object DetectionSemi-supervised Semantic SegmentationTransfer Learning with Instance SegmentationWeakly Supervised Instance SegmentationWeakly Supervised Object Detection