{"total":32,"rows":[{"id":"2308.08162","title":"Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations","created":"2023-08-16","cited_by_count":27,"area":null},{"id":"2303.07811","title":"ICICLE: Interpretable Class Incremental Continual Learning","created":"2023-03-14","cited_by_count":24,"area":null},{"id":"2309.14531","title":"Pixel-Grounded Prototypical Part Networks","created":"2023-09-25","cited_by_count":18,"area":null},{"id":"2501.15638","title":"A Comprehensive Survey on Self-Interpretable Neural Networks","created":"2025-01-26","cited_by_count":18,"area":null},{"id":"2405.14331","title":"LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision","created":"2024-05-23","cited_by_count":15,"area":null},{"id":"2405.01636","title":"Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey","created":"2024-05-02","cited_by_count":11,"area":null},{"id":"2406.14675","title":"This Looks Better than That: Better Interpretable Models with ProtoPNeXt","created":"2024-06-20","cited_by_count":11,"area":null},{"id":"2403.14566","title":"A survey on Concept-based Approaches For Model Improvement","created":"2024-03-21","cited_by_count":8,"area":null},{"id":"2407.11771","title":"XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach","created":"2024-07-16","cited_by_count":8,"area":null},{"id":"2407.16653","title":"Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models","created":"2024-07-23","cited_by_count":5,"area":null},{"id":"2410.08925","title":"An Overview of Prototype Formulations for Interpretable Deep Learning","created":"2024-10-11","cited_by_count":5,"area":null},{"id":"2403.07078","title":"Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning","created":"2024-03-11","cited_by_count":4,"area":null},{"id":"2409.09497","title":"Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation","created":"2024-09-14","cited_by_count":4,"area":null},{"id":"2411.04607","title":"Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation","created":"2024-11-07","cited_by_count":4,"area":null},{"id":"2507.19321","title":"SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence","created":"2025-07-25","cited_by_count":4,"area":null},{"id":"2504.18355","title":"Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2512.05922","title":"LPD: Learnable Prototypes with Diversity Regularization for Weakly Supervised Histopathology Segmentation","created":"2025-12-05","cited_by_count":2,"area":null},{"id":"2402.19142","title":"ProtoP-OD: Explainable Object Detection with Prototypical Parts","created":"2024-02-29","cited_by_count":1,"area":null},{"id":"2404.08917","title":"MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification","created":"2024-04-13","cited_by_count":1,"area":null},{"id":"2501.06059","title":"COMIX: Compositional Explanations using Prototypes","created":"2025-01-10","cited_by_count":1,"area":null},{"id":"2507.06819","title":"Comprehensive Evaluation of Prototype Neural Networks","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2312.14999","title":"Leveraging Habitat Information for Fine-grained Bird Identification","created":"2023-12-22","cited_by_count":0,"area":null},{"id":"2506.08690","title":"CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2508.01994","title":"Deeply Dual Supervised learning for melanoma recognition","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2508.06805","title":"Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsampling","created":"2025-08-09","cited_by_count":0,"area":null},{"id":"2508.06816","title":"DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation","created":"2025-08-09","cited_by_count":0,"area":null},{"id":"2508.06819","title":"VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation","created":"2025-08-09","cited_by_count":0,"area":null},{"id":"2602.06592","title":"ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2602.18119","title":"RamanSeg: Interpretability-driven Deep Learning on Raman Spectra for Cancer Diagnosis","created":"2026-02-20","cited_by_count":0,"area":null},{"id":"2606.31420","title":"BP-TTA: Balanced and Prototype-Guided Test-Time Adaptation in Dynamic Scenarios","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2608.11537","title":"Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchical Generator Evidence Alignment","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2609.16909","title":"PiPS: Post-Hoc Prototypical Explanations for Interpretable Semantic Segmentation","created":"2026-09-15","cited_by_count":0,"area":null}],"next_cursor":null}