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Weakly supervised segmentation

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Showing 51–75 of 147 papers

TitleStatusHype
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation—0
Centered Self-Attention Layers—0
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning—0
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Discretely-constrained deep network for weakly supervised segmentation—0
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules—0
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation—0
Explainable Disease Classification via weakly-supervised segmentation—0
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy—0
Flip Learning: Erase to Segment—0
Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound—0
FreeSeg-Diff: Training-Free Open-Vocabulary Segmentation with Diffusion Models—0
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels—0
From Image-level to Pixel-level Labeling with Convolutional Networks—0
Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning—0
Learning a Weight Map for Weakly-Supervised Localization—0
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation—0
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification—0
Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours—0
Manifold-driven Attention Maps for Weakly Supervised Segmentation—0
Medical image segmentation with imperfect 3D bounding boxes—0
Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images—0
Pathology Segmentation using Distributional Differences to Images of Healthy Origin—0
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation—0
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