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Referring Expression Comprehension

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TitleStatusHype
Referring Expression Instance Retrieval and A Strong End-to-End Baseline—0
Synthetic Visual Genome—0
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text ModelsCode2
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and SegmentationCode0
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language ModelCode9
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding—0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
New Dataset and Methods for Fine-Grained Compositional Referring Expression Comprehension via Specialist-MLLM CollaborationCode1
Exploring Spatial Language Grounding Through Referring Expressions—0
RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone ScenesCode1
FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis—0
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks—0
Multi-task Visual Grounding with Coarse-to-Fine Consistency ConstraintsCode1
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension—0
Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding—0
DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension—0
Towards Visual Grounding: A SurveyCode3
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingCode9
Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension—0
Frontiers in Intelligent ColonoscopyCode2
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal ModelsCode0
SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal FusionCode2
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoECode1
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression ComprehensionCode1
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression ComprehensionCode1
LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression ComprehensionCode1
Make Graph-based Referring Expression Comprehension Great Again through Expression-guided Dynamic Gating and Regression—0
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
Revisiting Multi-Modal LLM Evaluation—0
MaskInversion: Localized Embeddings via Optimization of Explainability Maps—0
Learning Visual Grounding from Generative Vision and Language Model—0
Multi-branch Collaborative Learning Network for 3D Visual GroundingCode1
The Solution for the 5th GCAIAC Zero-shot Referring Expression Comprehension Challenge—0
M^2IST: Multi-Modal Interactive Side-Tuning for Efficient Referring Expression Comprehension—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
ScanFormer: Referring Expression Comprehension by Iteratively Scanning—0
Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal ModelsCode2
Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression ComprehensionCode1
Adversarial Robustness for Visual Grounding of Multimodal Large Language ModelsCode0
Text-driven Affordance Learning from Egocentric Vision—0
Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsCode7
PropTest: Automatic Property Testing for Improved Visual Programming—0
Elysium: Exploring Object-level Perception in Videos via MLLMCode2
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLMCode1
WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar—0
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training—0
Efficient Multimodal Learning from Data-centric PerspectiveCode5
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity RecognitionCode1
An Open and Comprehensive Pipeline for Unified Object Grounding and DetectionCode1
Revisiting Counterfactual Problems in Referring Expression ComprehensionCode0
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