{"total":25,"rows":[{"id":"2406.17376","title":"Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection","created":"2024-06-25","cited_by_count":25,"area":null},{"id":"2212.14284","title":"Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning","created":"2022-12-29","cited_by_count":15,"area":null},{"id":"2407.19394","title":"Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets","created":"2024-07-28","cited_by_count":14,"area":null},{"id":"2403.07743","title":"Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs","created":"2024-03-12","cited_by_count":11,"area":null},{"id":"2405.13985","title":"LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate","created":"2024-05-22","cited_by_count":10,"area":null},{"id":"2312.05705","title":"Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC","created":"2023-12-09","cited_by_count":9,"area":null},{"id":"2406.18967","title":"Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis","created":"2024-06-27","cited_by_count":8,"area":null},{"id":"2408.14131","title":"GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets","created":"2024-08-26","cited_by_count":6,"area":null},{"id":"2504.03306","title":"Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection","created":"2025-04-04","cited_by_count":5,"area":null},{"id":"2305.07931","title":"GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples","created":"2023-05-13","cited_by_count":4,"area":null},{"id":"2407.11573","title":"Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification","created":"2024-07-16","cited_by_count":4,"area":null},{"id":"2504.02440","title":"HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning","created":"2025-04-03","cited_by_count":3,"area":null},{"id":"2409.17370","title":"The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach","created":"2024-09-25","cited_by_count":2,"area":null},{"id":"2408.15737","title":"TCNFormer: Temporal Convolutional Network Former for Short-Term Wind Speed Forecasting","created":"2024-08-27","cited_by_count":1,"area":null},{"id":"2502.02756","title":"Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images","created":"2025-02-04","cited_by_count":1,"area":null},{"id":"2604.12411","title":"DeferredSeg:A Multi-Expert Deferral Framework for Medical Image Segmentation","created":"2026-04-14","cited_by_count":1,"area":null},{"id":"2308.01604","title":"IndoHerb: Indonesia Medicinal Plants Recognition using Transfer Learning and Deep Learning","created":"2023-08-03","cited_by_count":0,"area":null},{"id":"2404.04924","title":"GvT: A Graph-based Vision Transformer with Talking-Heads Utilizing Sparsity, Trained from Scratch on Small Datasets","created":"2024-04-07","cited_by_count":0,"area":null},{"id":"2409.13688","title":"Morphological Detection and Classification of Microplastics and Nanoplastics Emerged from Consumer Products by Deep Learning","created":"2024-09-20","cited_by_count":0,"area":null},{"id":"2510.05971","title":"Shaken or Stirred? An Analysis of MetaFormer's Token Mixing for Medical Imaging","created":"2025-10-07","cited_by_count":0,"area":null},{"id":"2511.12098","title":"DINOv3-Guided Cross Fusion Framework for Semantic-aware CT generation from MRI and CBCT","created":"2025-11-15","cited_by_count":0,"area":null},{"id":"2605.23719","title":"Weierstrass Positional Encoding for Vision Transformers","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2605.30734","title":"Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.14757","title":"Spatial Priors via Space Filling Curves for Small and Limited Data Vision Transformers","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2610.15245","title":"Automated carotid artery atherosclerotic inflammation segmentation in PET using MSR-Net","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}