{"total":30,"rows":[{"id":"2501.00365","title":"Low-Rank Adaptation for Foundation Models: A Comprehensive Review","created":"2024-12-31","cited_by_count":37,"area":null},{"id":"2411.05663","title":"Online-LoRA: Task-free Online Continual Learning via Low Rank Adaptation","created":"2024-11-08","cited_by_count":27,"area":null},{"id":"2406.13378","title":"PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation","created":"2024-06-19","cited_by_count":22,"area":null},{"id":"2401.12215","title":"Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models","created":"2024-01-22","cited_by_count":18,"area":null},{"id":"2406.03150","title":"Sample-specific Masks for Visual Reprogramming-based Prompting","created":"2024-06-05","cited_by_count":18,"area":null},{"id":"2412.03512","title":"Distillation of Diffusion Features for Semantic Correspondence","created":"2024-12-04","cited_by_count":17,"area":null},{"id":"2408.13575","title":"Can Visual Foundation Models Achieve Long-term Point Tracking?","created":"2024-08-24","cited_by_count":14,"area":null},{"id":"2410.24018","title":"Bayesian-guided Label Mapping for Visual Reprogramming","created":"2024-10-31","cited_by_count":12,"area":null},{"id":"2506.10178","title":"Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency","created":"2025-06-11","cited_by_count":11,"area":null},{"id":"2503.09493","title":"Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection","created":"2025-03-12","cited_by_count":10,"area":null},{"id":"2506.09095","title":"Foundation Models in Medical Imaging: A Review and Outlook","created":"2025-06-10","cited_by_count":8,"area":null},{"id":"2410.04060","title":"LoRTA: Low Rank Tensor Adaptation of Large Language Models","created":"2024-10-05","cited_by_count":7,"area":null},{"id":"2409.10228","title":"Robust Bird's Eye View Segmentation by Adapting DINOv2","created":"2024-09-16","cited_by_count":6,"area":null},{"id":"2407.06504","title":"Reprogramming Distillation for Medical Foundation Models","created":"2024-07-09","cited_by_count":5,"area":null},{"id":"2506.08990","title":"Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models","created":"2025-06-10","cited_by_count":5,"area":null},{"id":"2407.11188","title":"Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection","created":"2024-07-15","cited_by_count":4,"area":null},{"id":"2408.15224","title":"SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images","created":"2024-08-27","cited_by_count":3,"area":null},{"id":"2402.14707","title":"Two-stage Cytopathological Image Synthesis for Augmenting Cervical Abnormality Screening","created":"2024-02-22","cited_by_count":2,"area":null},{"id":"2405.16036","title":"Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness","created":"2024-05-25","cited_by_count":2,"area":null},{"id":"2411.16870","title":"RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks","created":"2024-11-25","cited_by_count":2,"area":null},{"id":"2508.20414","title":"Federated Learning for Large Models in Medical Imaging: A Comprehensive Review","created":"2025-08-28","cited_by_count":2,"area":null},{"id":"2412.00374","title":"LQ-Adapter: ViT-Adapter with Learnable Queries for Gallbladder Cancer Detection from Ultrasound Image","created":"2024-11-30","cited_by_count":1,"area":null},{"id":"2408.09395","title":"OU-CoViT: Copula-Enhanced Bi-Channel Multi-Task Vision Transformers with Dual Adaptation for OU-UWF Images","created":"2024-08-18","cited_by_count":0,"area":null},{"id":"2503.01164","title":"Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis","created":"2025-03-03","cited_by_count":0,"area":null},{"id":"2503.18873","title":"Efficient Self-Supervised Adaptation for Medical Image Analysis","created":"2025-03-24","cited_by_count":0,"area":null},{"id":"2504.18437","title":"Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse","created":"2025-04-25","cited_by_count":0,"area":null},{"id":"2509.24204","title":"BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentation","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2603.27383","title":"Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression","created":"2026-03-28","cited_by_count":0,"area":null},{"id":"2605.04447","title":"Deep Reprogramming Distillation for Medical Foundation Models","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2609.06807","title":"Comparative Study of Anatomical and Learned Features in AI Models for Structural Brain MRI","created":"2026-09-06","cited_by_count":0,"area":null}],"next_cursor":null}