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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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 ↗
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Domain-adaptive Instance Segmentation Explainable Instance Segmentation Explainable Object Detection Explainable Semantic Segmentation Fine-Tuned Semantic Segmentation Multilingual Semantic Segmentation Multimodal Instance Segmentation Multimodal Semantic Segmentation Object Detection Self-supervised Instance Segmentation Self-supervised Semantic Segmentation Semantic Segmentation Semi-supervised Instance Segmentation Semi-supervised Object Detection Semi-supervised Semantic Segmentation Transfer Learning with Instance Segmentation Weakly Supervised Instance Segmentation Weakly Supervised Object Detection

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