{"total":31,"rows":[{"id":"2107.10834","title":"Query2Label: A Simple Transformer Way to Multi-Label Classification","created":"2021-07-22","cited_by_count":128,"area":null},{"id":"2104.06087","title":"Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation","created":"2021-04-13","cited_by_count":22,"area":null},{"id":"2106.06195","title":"MlTr: Multi-label Classification with Transformer","created":"2021-06-11","cited_by_count":21,"area":null},{"id":"2307.09066","title":"PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification","created":"2023-07-18","cited_by_count":21,"area":null},{"id":"2107.11626","title":"Multi-Label Image Classification with Contrastive Learning","created":"2021-07-24","cited_by_count":18,"area":null},{"id":"2309.02120","title":"Multi-label affordance mapping from egocentric vision","created":"2023-09-05","cited_by_count":18,"area":null},{"id":"2104.14762","title":"GM-MLIC: Graph Matching based Multi-Label Image Classification","created":"2021-04-30","cited_by_count":12,"area":null},{"id":"2203.04049","title":"Graph Attention Transformer Network for Multi-Label Image Classification","created":"2022-03-08","cited_by_count":11,"area":null},{"id":"2210.01111","title":"MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples","created":"2022-10-03","cited_by_count":9,"area":null},{"id":"2106.10230","title":"CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis","created":"2021-06-15","cited_by_count":8,"area":null},{"id":"2106.11596","title":"Multi-layered Semantic Representation Network for Multi-label Image Classification","created":"2021-06-22","cited_by_count":6,"area":null},{"id":"2310.06143","title":"HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images","created":"2023-10-09","cited_by_count":6,"area":null},{"id":"2110.00404","title":"Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation","created":"2021-10-01","cited_by_count":5,"area":null},{"id":"2206.13123","title":"Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification","created":"2022-06-27","cited_by_count":5,"area":null},{"id":"2207.02410","title":"A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation","created":"2022-07-06","cited_by_count":5,"area":null},{"id":"2107.11159","title":"Learning Discriminative Representations for Multi-Label Image Recognition","created":"2021-07-23","cited_by_count":4,"area":null},{"id":"2111.07646","title":"Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning","created":"2021-11-15","cited_by_count":4,"area":null},{"id":"2207.14408","title":"Deep learning for understanding multilabel imbalanced Chest X-ray datasets","created":"2022-07-28","cited_by_count":3,"area":null},{"id":"2509.15553","title":"Diffusion-Based Cross-Modal Feature Extraction for Multi-Label Classification","created":"2025-09-19","cited_by_count":3,"area":null},{"id":"2204.01728","title":"Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification","created":"2022-04-04","cited_by_count":2,"area":null},{"id":"2209.01314","title":"Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels","created":"2022-09-03","cited_by_count":2,"area":null},{"id":"2109.12453","title":"Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System","created":"2021-09-25","cited_by_count":1,"area":null},{"id":"2206.11501","title":"A novel adversarial learning strategy for medical image classification","created":"2022-06-23","cited_by_count":1,"area":null},{"id":"2207.11748","title":"Improved Super Resolution of MR Images Using CNNs and Vision Transformers","created":"2022-07-24","cited_by_count":1,"area":null},{"id":"2211.08424","title":"Cyclic Generative Adversarial Networks With Congruent Image-Report Generation For Explainable Medical Image Analysis","created":"2022-11-16","cited_by_count":0,"area":null},{"id":"2407.03931","title":"LeDNet: Localization-enabled Deep Neural Network for Multi-Label Radiography Image Classification","created":"2024-07-04","cited_by_count":0,"area":null},{"id":"2504.14708","title":"Time Frequency Analysis of EMG Signal for Gesture Recognition using Fine grained Features","created":"2025-04-20","cited_by_count":0,"area":null},{"id":"2507.14918","title":"Semantic-Aware Representation Learning via Conditional Transport for Multi-Label Image Classification","created":"2025-07-20","cited_by_count":0,"area":null},{"id":"2510.10055","title":"Incomplete Multi-Label Image Recognition by Co-learning Semantic-Aware Features and Label Recovery","created":"2025-10-11","cited_by_count":0,"area":null},{"id":"2603.03367","title":"Bridging the Reproducibility Divide: Open Source Software's Role in Standardizing Healthcare AI","created":"2026-03-02","cited_by_count":0,"area":null},{"id":"2609.09185","title":"Integrating Unimodal and Vision-Language Representations in Latent Space for Multi-Label Chest X-Ray Classification","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}