{"total":85,"rows":[{"id":"2306.05424","title":"Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models","created":"2023-06-08","cited_by_count":1062,"area":null},{"id":"2210.03117","title":"MaPLe: Multi-modal Prompt Learning","created":"2022-10-06","cited_by_count":687,"area":null},{"id":"2307.06948","title":"Self-regulating Prompts: Foundational Model Adaptation without Forgetting","created":"2023-07-13","cited_by_count":272,"area":null},{"id":"2212.03640","title":"Fine-tuned CLIP Models are Efficient Video Learners","created":"2022-12-06","cited_by_count":179,"area":null},{"id":"2306.15880","title":"Towards Open Vocabulary Learning: A Survey","created":"2023-06-28","cited_by_count":166,"area":null},{"id":"2303.13076","title":"CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching","created":"2023-03-23","cited_by_count":133,"area":null},{"id":"2304.09854","title":"Transformer-Based Visual Segmentation: A Survey","created":"2023-04-19","cited_by_count":124,"area":null},{"id":"2302.13996","title":"Aligning Bag of Regions for Open-Vocabulary Object Detection","created":"2023-02-27","cited_by_count":119,"area":"mllm"},{"id":"2305.07011","title":"Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers","created":"2023-05-11","cited_by_count":91,"area":null},{"id":"2401.02955","title":"Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively","created":"2024-01-05","cited_by_count":75,"area":null},{"id":"2303.15446","title":"SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications","created":"2023-03-27","cited_by_count":66,"area":null},{"id":"2304.04909","title":"SATR: Zero-Shot Semantic Segmentation of 3D Shapes","created":"2023-04-11","cited_by_count":62,"area":null},{"id":"2307.09220","title":"A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future","created":"2023-07-18","cited_by_count":61,"area":null},{"id":"2212.01424","title":"PROB: Probabilistic Objectness for Open World Object Detection","created":"2022-12-02","cited_by_count":57,"area":null},{"id":"2305.18980","title":"Multi-modal Queried Object Detection in the Wild","created":"2023-05-30","cited_by_count":47,"area":null},{"id":"2312.09579","title":"MobileSAMv2: Faster Segment Anything to Everything","created":"2023-12-15","cited_by_count":42,"area":null},{"id":"2309.00775","title":"Contrastive Feature Masking Open-Vocabulary Vision Transformer","created":"2023-09-02","cited_by_count":31,"area":null},{"id":"2206.11134","title":"Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization","created":"2022-06-22","cited_by_count":23,"area":null},{"id":"2404.15770","title":"ChEX: Interactive Localization and Region Description in Chest X-rays","created":"2024-04-24","cited_by_count":19,"area":null},{"id":"2312.02310","title":"VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding","created":"2023-12-04","cited_by_count":18,"area":null},{"id":"2306.14291","title":"Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection","created":"2023-06-25","cited_by_count":15,"area":null},{"id":"2309.04902","title":"Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art","created":"2023-09-10","cited_by_count":15,"area":null},{"id":"2312.07266","title":"ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection","created":"2023-12-12","cited_by_count":15,"area":null},{"id":"2403.01680","title":"Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection","created":"2024-03-04","cited_by_count":15,"area":null},{"id":"2302.00290","title":"MS-DETR: Multispectral Pedestrian Detection Transformer with Loosely Coupled Fusion and Modality-Balanced Optimization","created":"2023-02-01","cited_by_count":14,"area":null},{"id":"2512.12309","title":"WeDetect: Fast Open-Vocabulary Object Detection as Retrieval","created":"2025-12-13","cited_by_count":14,"area":null},{"id":"2410.11301","title":"Open World Object Detection: A Survey","created":"2024-10-15","cited_by_count":13,"area":null},{"id":"2403.12693","title":"As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?","created":"2024-03-19","cited_by_count":11,"area":null},{"id":"2406.14924","title":"DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection","created":"2024-06-21","cited_by_count":11,"area":null},{"id":"2212.11720","title":"GOOD: Exploring Geometric Cues for Detecting Objects in an Open World","created":"2022-12-22","cited_by_count":10,"area":null},{"id":"2312.05745","title":"Open World Object Detection in the Era of Foundation Models","created":"2023-12-10","cited_by_count":9,"area":null},{"id":"2412.20645","title":"YOLO-UniOW: Efficient Universal Open-World Object Detection","created":"2024-12-30","cited_by_count":9,"area":null},{"id":"2503.10152","title":"A Hierarchical Semantic Distillation Framework for Open-Vocabulary Object Detection","created":"2025-03-13","cited_by_count":9,"area":"mllm"},{"id":"2308.15846","title":"Exploring Multi-Modal Contextual Knowledge for Open-Vocabulary Object Detection","created":"2023-08-30","cited_by_count":7,"area":null},{"id":"2403.14203","title":"Unsupervised Audio-Visual Segmentation with Modality Alignment","created":"2024-03-21","cited_by_count":7,"area":null},{"id":"2407.10704","title":"Quantized Prompt for Efficient Generalization of Vision-Language Models","created":"2024-07-15","cited_by_count":6,"area":"mllm"},{"id":"2309.06728","title":"Leveraging Foundation models for Unsupervised Audio-Visual Segmentation","created":"2023-09-13","cited_by_count":5,"area":null},{"id":"2312.10813","title":"Towards Efficient Vision-Language Tuning: More Information Density, More Generalizability","created":"2023-12-17","cited_by_count":5,"area":"mllm"},{"id":"2411.18207","title":"From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects","created":"2024-11-27","cited_by_count":5,"area":"mllm"},{"id":"2602.21397","title":"MMLoP: Multi-Modal Low-Rank Prompting for Efficient Vision-Language Adaptation","created":"2026-02-24","cited_by_count":5,"area":"mllm"},{"id":"2306.02275","title":"USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model","created":"2023-06-04","cited_by_count":4,"area":null},{"id":"2401.00268","title":"COMMA: Co-Articulated Multi-Modal Learning","created":"2023-12-30","cited_by_count":4,"area":"mllm"},{"id":"2403.19882","title":"Enhancing Efficiency in Vision Transformer Networks: Design Techniques and Insights","created":"2024-03-28","cited_by_count":4,"area":null},{"id":"2405.19854","title":"RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection","created":"2024-05-30","cited_by_count":4,"area":null},{"id":"2407.12987","title":"ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos","created":"2024-07-17","cited_by_count":4,"area":null},{"id":"2510.00303","title":"Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection","created":"2025-09-30","cited_by_count":4,"area":null},{"id":"2307.09810","title":"GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence","created":"2023-07-19","cited_by_count":3,"area":null},{"id":"2408.13152","title":"Long-term Pre-training for Temporal Action Detection with Transformers","created":"2024-08-23","cited_by_count":3,"area":null},{"id":"2505.22195","title":"S2AFormer: Strip Self-Attention for Efficient Vision Transformer","created":"2025-05-28","cited_by_count":3,"area":null},{"id":"2511.22664","title":"VaMP: Variational Multi-Modal Prompt Learning for Vision-Language Models","created":"2025-11-27","cited_by_count":3,"area":"mllm"},{"id":"2306.15955","title":"Understanding Prompt Tuning for V-L Models Through the Lens of Neural Collapse","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2407.19674","title":"Advancing Prompt Learning through an External Layer","created":"2024-07-29","cited_by_count":2,"area":"mllm"},{"id":"2408.12747","title":"CatFree3D: Category-agnostic 3D Object Detection with Diffusion","created":"2024-08-22","cited_by_count":2,"area":null},{"id":"2409.01690","title":"Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits","created":"2024-09-03","cited_by_count":2,"area":null},{"id":"2410.20164","title":"Prompt Diffusion Robustifies Any-Modality Prompt Learning","created":"2024-10-26","cited_by_count":2,"area":"diffusion"},{"id":"2411.02236","title":"3D Audio-Visual Segmentation","created":"2024-11-04","cited_by_count":2,"area":null},{"id":"2502.19946","title":"Space Rotation with Basis Transformation for Training-free Test-Time Adaptation","created":"2025-02-27","cited_by_count":2,"area":"mllm"},{"id":"2505.03414","title":"Enhancing Target-unspecific Tasks through a Features Matrix","created":"2025-05-06","cited_by_count":2,"area":"mllm"},{"id":"2508.08644","title":"AME: Aligned Manifold Entropy for Robust Vision-Language Distillation","created":"2025-08-12","cited_by_count":2,"area":"mllm"},{"id":"2510.14792","title":"MSPL: Multi-Step Pseudo-Labeling for Open-Vocabulary Object Detection","created":"2025-10-16","cited_by_count":2,"area":null},{"id":"2510.17686","title":"Towards 3D Objectness Learning in an Open World","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2303.11623","title":"Detecting the open-world objects with the help of the Brain","created":"2023-03-21","cited_by_count":1,"area":null},{"id":"2307.15710","title":"Generalized Open-World Semi-Supervised Object Detection","created":"2023-07-28","cited_by_count":1,"area":null},{"id":"2401.06827","title":"APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning","created":"2024-01-12","cited_by_count":1,"area":null},{"id":"2410.07514","title":"O1O: Grouping of Known Classes to Identify Unknown Objects as Odd-One-Out","created":"2024-10-10","cited_by_count":1,"area":null},{"id":"2507.00462","title":"Unleashing the Potential of All Test Samples: Mean-Shift Guided Test-Time Adaptation","created":"2025-07-01","cited_by_count":1,"area":"mllm"},{"id":"2509.05949","title":"AttriPrompt: Dynamic Prompt Composition Learning for CLIP","created":"2025-09-07","cited_by_count":1,"area":null},{"id":"2603.08942","title":"BiCLIP: Domain Canonicalization via Structured Geometric Transformation","created":"2026-03-09","cited_by_count":1,"area":"mllm"},{"id":"2607.03004","title":"REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling","created":"2026-07-03","cited_by_count":1,"area":null},{"id":"2310.10391","title":"Open-CRB: Towards Open World Active Learning for 3D Object Detection","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2311.02342","title":"Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector","created":"2023-11-04","cited_by_count":0,"area":null},{"id":"2312.11570","title":"Understanding the Multi-modal Prompts of the Pre-trained Vision-Language Model","created":"2023-12-18","cited_by_count":0,"area":"mllm"},{"id":"2401.06244","title":"YOLO-Former: YOLO Shakes Hand With ViT","created":"2024-01-11","cited_by_count":0,"area":null},{"id":"2403.10798","title":"Object Retrieval for Visual Question Answering with Outside Knowledge","created":"2024-03-16","cited_by_count":0,"area":"rag"},{"id":"2405.15596","title":"Multimodal Object Detection via Probabilistic a priori Information Integration","created":"2024-05-24","cited_by_count":0,"area":null},{"id":"2406.17323","title":"XAMI -- A Benchmark Dataset for Artefact Detection in XMM-Newton Optical Images","created":"2024-06-25","cited_by_count":0,"area":null},{"id":"2504.14432","title":"ResNetVLLM -- Multi-modal Vision LLM for the Video Understanding Task","created":"2025-04-20","cited_by_count":0,"area":null},{"id":"2506.05409","title":"Object-level Self-Distillation for Vision Pretraining","created":"2025-06-04","cited_by_count":0,"area":"distill"},{"id":"2506.14008","title":"FindMeIfYouCan: Bringing Open Set metrics to $\\textit{near} $, $ \\textit{far} $ and $\\textit{farther}$ Out-of-Distribution Object Detection","created":"2025-06-16","cited_by_count":0,"area":null},{"id":"2507.07147","title":"Weighted Multi-Prompt Learning with Description-free Large Language Model Distillation","created":"2025-07-09","cited_by_count":0,"area":"mllm"},{"id":"2604.06934","title":"Multi-modal user interface control detection using cross-attention","created":"2026-04-08","cited_by_count":0,"area":null},{"id":"2604.23344","title":"Exploring Hierarchical Consistency and Unbiased Objectness for Open-Vocabulary Object Detection","created":"2026-04-25","cited_by_count":0,"area":null},{"id":"2608.27214","title":"CODE: Cross-Modal Calibration and Dynamic Suppression for Open World Object Detection","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2608.29232","title":"Background-Free Objectness Learning for Class-Agnostic Detection","created":"2026-08-29","cited_by_count":0,"area":null},{"id":"2609.09462","title":"Low-Rank Prompt Learning for Vision-Language Models with Fixed-Token Bases","created":"2026-09-08","cited_by_count":0,"area":"mllm"}],"next_cursor":null}