{"total":36,"rows":[{"id":"2202.11094","title":"GroupViT: Semantic Segmentation Emerges from Text Supervision","created":"2022-02-22","cited_by_count":531,"area":null},{"id":"2112.12143","title":"Scaling Open-Vocabulary Image Segmentation with Image-Level Labels","created":"2021-12-22","cited_by_count":473,"area":null},{"id":"2203.02668","title":"Cross Language Image Matching for Weakly Supervised Semantic Segmentation","created":"2022-03-05","cited_by_count":72,"area":null},{"id":"2305.05803","title":"Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation","created":"2023-05-09","cited_by_count":53,"area":null},{"id":"2106.02740","title":"ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes","created":"2021-06-04","cited_by_count":47,"area":null},{"id":"2203.07239","title":"TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation","created":"2022-03-14","cited_by_count":26,"area":null},{"id":"2202.04812","title":"Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling","created":"2022-02-10","cited_by_count":19,"area":null},{"id":"2309.12943","title":"Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation","created":"2023-09-22","cited_by_count":17,"area":null},{"id":"2304.09913","title":"MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation","created":"2023-04-19","cited_by_count":13,"area":null},{"id":"2110.14191","title":"Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity","created":"2021-10-27","cited_by_count":11,"area":null},{"id":"2203.13505","title":"Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation","created":"2022-03-25","cited_by_count":7,"area":null},{"id":"2205.04227","title":"Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference","created":"2022-05-06","cited_by_count":7,"area":null},{"id":"2109.00707","title":"Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study","created":"2021-09-02","cited_by_count":6,"area":null},{"id":"2207.01769","title":"SESS: Saliency Enhancing with Scaling and Sliding","created":"2022-07-05","cited_by_count":5,"area":null},{"id":"2209.15211","title":"Dual Progressive Transformations for Weakly Supervised Semantic Segmentation","created":"2022-09-30","cited_by_count":4,"area":null},{"id":"2404.00380","title":"DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation","created":"2024-03-30","cited_by_count":3,"area":null},{"id":"2211.12455","title":"ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation","created":"2022-11-22","cited_by_count":2,"area":null},{"id":"2111.10773","title":"One-shot Weakly-Supervised Segmentation in Medical Images","created":"2021-11-21","cited_by_count":1,"area":null},{"id":"2204.06754","title":"RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks","created":"2022-04-14","cited_by_count":1,"area":null},{"id":"2205.07028","title":"Object-Aware Self-supervised Multi-Label Learning","created":"2022-05-14","cited_by_count":1,"area":null},{"id":"2205.09841","title":"Single-cell Subcellular Protein Localisation Using Novel Ensembles of Diverse Deep Architectures","created":"2022-05-19","cited_by_count":1,"area":null},{"id":"2211.15672","title":"ExpNet: A unified network for Expert-Level Classification","created":"2022-11-29","cited_by_count":1,"area":null},{"id":"2303.07853","title":"ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images","created":"2023-03-14","cited_by_count":1,"area":null},{"id":"2309.03509","title":"BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications","created":"2023-09-07","cited_by_count":1,"area":null},{"id":"2502.01455","title":"Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sorting","created":"2025-02-03","cited_by_count":1,"area":null},{"id":"2210.11177","title":"Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks","created":"2022-10-20","cited_by_count":0,"area":null},{"id":"2303.07892","title":"SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters","created":"2023-03-14","cited_by_count":0,"area":null},{"id":"2303.07898","title":"ISLE: A Framework for Image Level Semantic Segmentation Ensemble","created":"2023-03-14","cited_by_count":0,"area":null},{"id":"2305.12522","title":"P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors","created":"2023-05-21","cited_by_count":0,"area":null},{"id":"2312.07357","title":"Automatic coral reef fish identification and 3D measurement in the wild","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2403.05703","title":"Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition","created":"2024-03-08","cited_by_count":0,"area":null},{"id":"2405.13264","title":"Part-based Quantitative Analysis for Heatmaps","created":"2024-05-22","cited_by_count":0,"area":null},{"id":"2409.04819","title":"Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation","created":"2024-09-07","cited_by_count":0,"area":null},{"id":"2411.12615","title":"Text-Driven Weakly Supervised OCT Lesion Segmentation with Structural Guidance","created":"2024-11-19","cited_by_count":0,"area":null},{"id":"2509.06485","title":"WS$^2$: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2606.30577","title":"APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms","created":"2026-06-29","cited_by_count":0,"area":null}],"next_cursor":null}