{"total":71,"rows":[{"id":"2305.11175","title":"VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks","created":"2023-05-18","cited_by_count":501,"area":null},{"id":"2211.11635","title":"Understanding and Improving Visual Prompting: A Label-Mapping Perspective","created":"2022-11-21","cited_by_count":87,"area":null},{"id":"2308.09718","title":"Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training","created":"2023-08-18","cited_by_count":86,"area":null},{"id":"2303.14773","title":"BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning","created":"2023-03-26","cited_by_count":70,"area":null},{"id":"2307.13770","title":"E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning","created":"2023-07-25","cited_by_count":70,"area":null},{"id":"2305.10724","title":"Segment Any Anomaly without Training via Hybrid Prompt Regularization","created":"2023-05-18","cited_by_count":60,"area":null},{"id":"2307.16867","title":"Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy","created":"2023-07-31","cited_by_count":44,"area":null},{"id":"2312.03731","title":"MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs","created":"2023-11-28","cited_by_count":40,"area":null},{"id":"2309.07929","title":"Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer","created":"2023-09-13","cited_by_count":37,"area":null},{"id":"2305.06061","title":"Visual Tuning","created":"2023-05-10","cited_by_count":34,"area":null},{"id":"2401.12902","title":"Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?","created":"2024-01-23","cited_by_count":31,"area":null},{"id":"2408.12594","title":"Non-Homophilic Graph Pre-Training and Prompt Learning","created":"2024-08-22","cited_by_count":31,"area":null},{"id":"2411.01327","title":"Visual Fourier Prompt Tuning","created":"2024-11-02","cited_by_count":30,"area":null},{"id":"2507.07796","title":"Visual Instance-aware Prompt Tuning","created":"2025-07-10","cited_by_count":29,"area":null},{"id":"2401.01736","title":"Few-shot Adaptation of Multi-modal Foundation Models: A Survey","created":"2024-01-03","cited_by_count":28,"area":null},{"id":"2410.23904","title":"EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection","created":"2024-10-31","cited_by_count":28,"area":null},{"id":"2401.10588","title":"DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval","created":"2024-01-19","cited_by_count":26,"area":null},{"id":"2402.19387","title":"SeD: Semantic-Aware Discriminator for Image Super-Resolution","created":"2024-02-29","cited_by_count":26,"area":null},{"id":"2303.07033","title":"SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency","created":"2023-03-13","cited_by_count":24,"area":null},{"id":"2308.12509","title":"Parameter-Efficient Transfer Learning for Remote Sensing Image-Text Retrieval","created":"2023-08-24","cited_by_count":24,"area":null},{"id":"2312.01397","title":"Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective","created":"2023-12-03","cited_by_count":23,"area":null},{"id":"2501.18592","title":"Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models","created":"2025-01-30","cited_by_count":23,"area":null},{"id":"2308.01890","title":"DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations","created":"2023-08-03","cited_by_count":22,"area":null},{"id":"2309.08513","title":"SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels","created":"2023-09-15","cited_by_count":20,"area":null},{"id":"2305.14244","title":"Federated Prompt Learning for Weather Foundation Models on Devices","created":"2023-05-23","cited_by_count":17,"area":null},{"id":"2301.12171","title":"ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts","created":"2023-01-28","cited_by_count":16,"area":null},{"id":"2504.14280","title":"CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey","created":"2025-04-19","cited_by_count":15,"area":null},{"id":"2407.15085","title":"Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization","created":"2024-07-21","cited_by_count":14,"area":null},{"id":"2309.06799","title":"When Geoscience Meets Foundation Models: Towards General Geoscience Artificial Intelligence System","created":"2023-09-13","cited_by_count":13,"area":null},{"id":"2401.04651","title":"Learning to Prompt Segment Anything Models","created":"2024-01-09","cited_by_count":13,"area":null},{"id":"2306.02240","title":"ProTeCt: Prompt Tuning for Taxonomic Open Set Classification","created":"2023-06-04","cited_by_count":12,"area":null},{"id":"2507.15542","title":"HOLa: Zero-Shot HOI Detection with Low-Rank Decomposed VLM Feature Adaptation","created":"2025-07-21","cited_by_count":12,"area":null},{"id":"2305.17903","title":"Deeply Coupled Cross-Modal Prompt Learning","created":"2023-05-29","cited_by_count":11,"area":null},{"id":"2503.17650","title":"Visual Variational Autoencoder Prompt Tuning","created":"2025-03-22","cited_by_count":10,"area":null},{"id":"2404.06860","title":"Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks","created":"2024-04-10","cited_by_count":9,"area":null},{"id":"2407.05578","title":"FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance","created":"2024-07-08","cited_by_count":8,"area":null},{"id":"2403.11311","title":"Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding","created":"2024-03-17","cited_by_count":7,"area":null},{"id":"2306.02243","title":"Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification","created":"2023-06-04","cited_by_count":6,"area":null},{"id":"2311.13612","title":"Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning","created":"2023-11-21","cited_by_count":6,"area":null},{"id":"2402.02574","title":"Spatio-temporal Prompting Network for Robust Video Feature Extraction","created":"2024-02-04","cited_by_count":5,"area":null},{"id":"2410.05650","title":"SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection","created":"2024-10-08","cited_by_count":5,"area":null},{"id":"2511.16170","title":"Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective","created":"2025-11-20","cited_by_count":5,"area":null},{"id":"2303.04998","title":"Rethinking Visual Prompt Learning as Masked Visual Token Modeling","created":"2023-03-09","cited_by_count":4,"area":null},{"id":"2303.08303","title":"SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification","created":"2023-03-15","cited_by_count":4,"area":null},{"id":"2306.04715","title":"UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks","created":"2023-06-07","cited_by_count":4,"area":null},{"id":"2407.06964","title":"Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach","created":"2024-07-09","cited_by_count":4,"area":null},{"id":"2407.17491","title":"Robust Adaptation of Foundation Models with Black-Box Visual Prompting","created":"2024-07-04","cited_by_count":3,"area":null},{"id":"2501.18753","title":"INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation","created":"2025-01-30","cited_by_count":3,"area":null},{"id":"2503.06106","title":"Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation","created":"2025-03-08","cited_by_count":3,"area":null},{"id":"2303.05122","title":"M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios","created":"2023-03-09","cited_by_count":2,"area":null},{"id":"2306.09067","title":"2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection","created":"2023-06-15","cited_by_count":2,"area":null},{"id":"2308.02862","title":"Improving Generalization of Image Captioning with Unsupervised Prompt Learning","created":"2023-08-05","cited_by_count":2,"area":null},{"id":"2404.08894","title":"Rethinking Low-Rank Adaptation in Vision: Exploring Head-Level Responsiveness across Diverse Tasks","created":"2024-04-13","cited_by_count":2,"area":null},{"id":"2409.11338","title":"CLIP Adaptation by Intra-modal Overlap Reduction","created":"2024-09-17","cited_by_count":2,"area":null},{"id":"2508.03102","title":"Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning","created":"2025-08-05","cited_by_count":2,"area":null},{"id":"2512.07208","title":"Geometric Prior-Guided Federated Prompt Calibration","created":"2025-12-08","cited_by_count":2,"area":null},{"id":"2407.11414","title":"SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models","created":"2024-07-16","cited_by_count":1,"area":null},{"id":"2407.19520","title":"Ego-VPA: Egocentric Video Understanding with Parameter-efficient Adaptation","created":"2024-07-28","cited_by_count":1,"area":null},{"id":"2408.07944","title":"Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning","created":"2024-08-15","cited_by_count":1,"area":null},{"id":"2505.03611","title":"Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Images","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2508.19024","title":"ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval","created":"2025-08-26","cited_by_count":1,"area":null},{"id":"2510.04770","title":"Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning","created":"2025-10-06","cited_by_count":1,"area":null},{"id":"2603.10160","title":"ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2308.12562","title":"Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions","created":"2023-08-24","cited_by_count":0,"area":null},{"id":"2312.03734","title":"Conditional Prompt Tuning for Multimodal Fusion","created":"2023-11-28","cited_by_count":0,"area":null},{"id":"2403.06136","title":"RESTORE: Towards Feature Shift for Vision-Language Prompt Learning","created":"2024-03-10","cited_by_count":0,"area":null},{"id":"2407.17412","title":"(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork","created":"2024-07-24","cited_by_count":0,"area":null},{"id":"2409.19733","title":"Pear: Pruning and Sharing Adapters in Visual Parameter-Efficient Fine-Tuning","created":"2024-09-29","cited_by_count":0,"area":null},{"id":"2507.05807","title":"Improving Robustness of Foundation Models in Domain Adaptation with Soup-Adapters","created":"2025-07-08","cited_by_count":0,"area":null},{"id":"2509.26462","title":"Zero-Shot Decentralized Federated Learning","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2605.08156","title":"LAGO: Language-Guided Adaptive Object-Region Focus for Zero-Shot Visual-Text Alignment","created":"2026-05-04","cited_by_count":0,"area":null}],"next_cursor":null}