SOTAVerified

Referring Expression

Referring expressions places a bounding box around the instance corresponding to the provided description and image.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 364 papers

TitleStatusHype
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression SegmentationCode1
GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane—0
Bring Adaptive Binding Prototypes to Generalized Referring Expression SegmentationCode0
CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression SegmentationCode1
Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression ComprehensionCode1
Adversarial Robustness for Visual Grounding of Multimodal Large Language ModelsCode0
Transcrib3D: 3D Referring Expression Resolution through Large Language Models—0
Resilience through Scene Context in Visual Referring Expression GenerationCode0
Decoupling Static and Hierarchical Motion Perception for Referring Video SegmentationCode2
Text-driven Affordance Learning from Egocentric Vision—0
SUGAR: Pre-training 3D Visual Representations for Robotics—0
PropTest: Automatic Property Testing for Improved Visual Programming—0
Elysium: Exploring Object-level Perception in Videos via MLLMCode2
PSALM: Pixelwise SegmentAtion with Large Multi-Modal ModelCode3
WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar—0
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLMCode1
Multi-modal Instruction Tuned LLMs with Fine-grained Visual PerceptionCode1
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training—0
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity RecognitionCode1
Intrinsic Task-based Evaluation for Referring Expression Generation—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Generalizable Entity Grounding via Assistance of Large Language Model—0
An Open and Comprehensive Pipeline for Unified Object Grounding and DetectionCode1
Revisiting Counterfactual Problems in Referring Expression ComprehensionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified