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Domain-adaptive Instance Segmentation/Ushahidi
Rekodi ya ushahidi wa mbinu

Domain-adaptive Instance Segmentation

Domain-adaptive instance segmentation extends Mask R-CNN-style architectures to operate across distribution shifts — training on a labeled source domain (e.g., synthetic renderings or daytime images) and adapting to an unlabeled or weakly labeled target domain (e.g., real scenes or nighttime footage). Adversarial feature alignment and self-training close the domain gap at both image-level and instance-level granularity.

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Domain-Adaptive Instance Segmentation (Cross-Domain Instance-Level Pixel Segmentation)
Rekodi ya mbinu ya kiajenda · ml-model / deep-learning
  • Chen, Y., Li, W., Sakaridis, C., Dai, D., & Van Gool, L. (2018). Domain Adaptive Faster RCNN for Object Detection in the Wild. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3339–3348. · DOI 10.1109/CVPR.2018.00352
  • VS, V., Gupta, V., Oza, P., Sindagi, V. A., & Patel, V. M. (2021). MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4516–4526. · DOI 10.1109/CVPR46437.2021.00449
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Taxonomic bucketInstance Segmentationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSemantic Segmentationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketTransfer Learning with Instance Segmentationmachine-suggested · Relational suggestion, not evidence.

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Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

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