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Weakly-supervised Learning

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Showing 151–175 of 613 papers

TitleStatusHype
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image SegmentationCode0
Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis—0
On the Generalizability of Foundation Models for Crop Type MappingCode0
Interactive Machine Teaching by Labeling Rules and Instances—0
Theoretical Proportion Label Perturbation for Learning from Label Proportions in Large BagsCode0
Size Aware Cross-shape Scribble Supervision for Medical Image Segmentation—0
MergeUp-augmented Semi-Weakly Supervised Learning for WSI Classification—0
A Review of Human-Object Interaction Detection—0
LNQ 2023 challenge: Benchmark of weakly-supervised techniques for mediastinal lymph node quantification—0
Class-aware and Augmentation-free Contrastive Learning from Label Proportion—0
What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised HorizonCode0
Sentinel-1 SAR Based Weakly Supervised Learning For Tropical Forest Mapping—0
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism—0
Physics-Informed Weakly Supervised Learning for Interatomic PotentialsCode0
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label LearningCode0
An efficient framework based on large foundation model for cervical cytopathology whole slide image screeningCode0
On Characterizing and Mitigating Imbalances in Multi-Instance Partial Label Learning—0
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation—0
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification ChallengeCode0
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised LearningCode0
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth—0
Optimistic Rates for Learning from Label ProportionsCode0
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide ImagesCode0
Learning from True-False Labels via Multi-modal Prompt RetrievingCode0
Pre-Trained Vision-Language Models as Partial Annotators—0
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