{"total":17,"rows":[{"id":"2304.00202","title":"Improving Fast Adversarial Training with Prior-Guided Knowledge","created":"2023-04-01","cited_by_count":35,"area":null},{"id":"2301.13096","title":"Language-Driven Anchors for Zero-Shot Adversarial Robustness","created":"2023-01-30","cited_by_count":23,"area":null},{"id":"2305.06024","title":"A Survey on the Robustness of Computer Vision Models against Common Corruptions","created":"2023-05-10","cited_by_count":21,"area":null},{"id":"2402.14327","title":"Subobject-level Image Tokenization","created":"2024-02-22","cited_by_count":21,"area":null},{"id":"2312.03035","title":"SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction","created":"2023-12-05","cited_by_count":14,"area":null},{"id":"2305.17438","title":"On the Importance of Backbone to the Adversarial Robustness of Object Detectors","created":"2023-05-27","cited_by_count":12,"area":null},{"id":"2407.10918","title":"PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition","created":"2024-07-15","cited_by_count":7,"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":"2506.23581","title":"PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection","created":"2025-06-30","cited_by_count":3,"area":null},{"id":"2402.16479","title":"Edge Detectors Can Make Deep Convolutional Neural Networks More Robust","created":"2024-02-26","cited_by_count":2,"area":null},{"id":"2311.12083","title":"PanBench: Towards High-Resolution and High-Performance Pansharpening","created":"2023-11-20","cited_by_count":1,"area":null},{"id":"2603.25170","title":"Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2303.06425","title":"Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning","created":"2023-03-11","cited_by_count":0,"area":null},{"id":"2601.01454","title":"PartImageNet++ Dataset: Enhancing Visual Models with High-Quality Part Annotations","created":"2026-01-04","cited_by_count":0,"area":null},{"id":"2601.16200","title":"Feature-Space Smoothing: Certified Robustness of Deep Representations","created":"2026-01-22","cited_by_count":0,"area":null},{"id":"2604.21546","title":"Component-Based Out-of-Distribution Detection","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2604.22838","title":"Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning","created":"2026-04-21","cited_by_count":0,"area":null}],"next_cursor":null}