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Weakly-Supervised Semantic Segmentation

The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level annotations). However, in the weakly-supervised setting, the dataset consists of images and corresponding annotations that are relatively easy to obtain, such as tags/labels of objects present in the image.

( Image credit: Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing )

Papers

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Showing 181–190 of 296 papers

TitleStatusHype
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
Weakly supervised semantic segmentation of tomographic images in the diagnosis of stroke—0
Pseudo-mask Matters in Weakly-supervised Semantic SegmentationCode1
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation—0
Complementary Patch for Weakly Supervised Semantic SegmentationCode1
Dynamic Feature Regularized Loss for Weakly Supervised Semantic Segmentation—0
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation—0
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic SegmentationCode1
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic SegmentationCode1
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