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 101–125 of 364 papers

TitleStatusHype
Tune-An-Ellipse: CLIP Has Potential to Find What You WantCode1
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEsCode1
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity RecognitionCode1
Multi-branch Collaborative Learning Network for 3D Visual GroundingCode1
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale BenchmarkCode1
VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsCode1
Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation—0
Bi-Directional Relationship Inferring Network for Referring Image Segmentation—0
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding—0
A Commercial Perspective on Reference—0
Decoding Strategies for Neural Referring Expression Generation—0
A Unified Mutual Supervision Framework for Referring Expression Segmentation and Generation—0
Language Controls More Than Top-Down Attention: Modulating Bottom-Up Visual Processing with Referring Expressions—0
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving—0
Gondola: Grounded Vision Language Planning for Generalizable Robotic Manipulation—0
Creating Training Corpora for NLG Micro-Planners—0
Language-Mediated, Object-Centric Representation Learning—0
Learning Distributions over Logical Forms for Referring Expression Generation—0
GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane—0
Goal-driven text descriptions for images—0
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding—0
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory—0
G-TUNA: a corpus of referring expressions in German, including duration information—0
Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension—0
Justifying Corpus-Based Choices in Referring Expression Generation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified