SOTAVerified

Referring Expression

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

Papers

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Showing 301–350 of 364 papers

TitleStatusHype
Modular Graph Attention Network for Complex Visual Relational Reasoning—0
MuDoCo: Corpus for Multidomain Coreference Resolution and Referring Expression Generation—0
Multi-modal Domain Adaptation for REG via Relation Transfer—0
MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension—0
Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks—0
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems—0
Object Referring in Videos with Language and Human Gaze—0
Obtaining referential word meanings from visual and distributional information: Experiments on object naming—0
OMEGA : A probabilistic approach to referring expression generation in a virtual environment—0
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks—0
One for All: One-stage Referring Expression Comprehension with Dynamic Reasoning—0
On The Feasibility of Open Domain Referring Expression Generation Using Large Scale Folksonomies—0
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering—0
On the Robustness of Standalone Referring Expression Generation Algorithms Using RDF Data—0
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries—0
Perspective-corrected Spatial Referring Expression Generation for Human-Robot Interaction—0
Playing Lottery Tickets with Vision and Language—0
PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension—0
Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention—0
PropTest: Automatic Property Testing for Improved Visual Programming—0
Real-Time Referring Expression Comprehension by Single-Stage Grounding Network—0
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension—0
Recurrent Instance Segmentation using Sequences of Referring Expressions—0
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension—0
RefCrowd: Grounding the Target in Crowd with Referring Expressions—0
RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions—0
Reference production in human-computer interaction: Issues for Corpus-based Referring Expression Generation—0
Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images—0
Referring Expression Comprehension: A Survey of Methods and Datasets—0
Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension—0
Referring Expression Generation and Comprehension via Attributes—0
Referring Expression Generation in time-constrained communication—0
Referring Expression Generation under Uncertainty: Algorithm and Evaluation Framework—0
Joint Visual Grounding with Language Scene Graphs—0
Referring Expression Instance Retrieval and A Strong End-to-End Baseline—0
Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach—0
Referring Image Segmentation by Generative Adversarial Learning—0
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network—0
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities—0
Refer to Anything with Vision-Language Prompts—0
RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension—0
REMI: Mining Intuitive Referring Expressions on Knowledge Bases—0
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Resolving Referring Expressions in Images With Labeled Elements—0
Revisiting Multi-Modal LLM Evaluation—0
Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning—0
Robust Visual Reasoning via Language Guided Neural Module Networks—0
SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation—0
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified