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
Real-Time Referring Expression Comprehension by Single-Stage Grounding Network—0
Generating Easy-to-Understand Referring Expressions for Target IdentificationsCode1
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory—0
Enriching the WebNLG corpusCode0
Statistical NLG for Generating the Content and Form of Referring Expressions—0
Decoding Strategies for Neural Referring Expression Generation—0
Adapting Descriptions of People to the Point of View of a Moving Observer—0
Generating Texts with Integer Linear Programming—0
Resolving Referring Expressions in Images With Labeled Elements—0
Getting to ``Hearer-old'': Charting Referring Expressions Across Time—0
Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution—0
Specificity measures and reference—0
An Incremental Iterated Response Model of Pragmatics—0
Meteorologists and Students: A resource for language grounding of geographical descriptors—0
Key-Word-Aware Network for Referring Expression Image Segmentation—0
Discovering User Groups for Natural Language Generation—0
Event versus entity co-reference: Effects of context and form of referring expression—0
Visual Referring Expression Recognition: What Do Systems Actually Learn?Code0
Using Syntax to Ground Referring Expressions in Natural ImagesCode0
NeuralREG: An end-to-end approach to referring expression generationCode0
Reference production in human-computer interaction: Issues for Corpus-based Referring Expression Generation—0
Referring Expression Generation in time-constrained communication—0
A Predictive Model for Notional Anaphora in English—0
MAttNet: Modular Attention Network for Referring Expression ComprehensionCode0
Object Referring in Videos with Language and Human Gaze—0
Semi-automatic definite description annotation: a first report—0
Grounding Referring Expressions in Images by Variational ContextCode0
Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries—0
Referring Expression Generation and Comprehension via Attributes—0
The WebNLG Challenge: Generating Text from RDF Data—0
A Commercial Perspective on Reference—0
Exploring the Behavior of Classic REG Algorithms in the Description of Characters in 3D Images—0
Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images—0
Referring Expression Generation under Uncertainty: Algorithm and Evaluation Framework—0
Improving the generation of personalised descriptions—0
G-TUNA: a corpus of referring expressions in German, including duration information—0
Creating Training Corpora for NLG Micro-Planners—0
Obtaining referential word meanings from visual and distributional information: Experiments on object naming—0
Squib: Effects of Cognitive Effort on the Resolution of Overspecified Descriptions—0
Trainable Referring Expression Generation using Overspecification Preferences—0
Building Multimodal Simulations for Natural Language—0
An Empirical Approach for Modeling Fuzzy Geographical Descriptors—0
Colors in Context: A Pragmatic Neural Model for Grounded Language UnderstandingCode1
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning—0
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos—0
Modeling Semantic Expectation: Using Script Knowledge for Referent Prediction—0
Comprehension-guided referring expressions—0
A Joint Speaker-Listener-Reinforcer Model for Referring ExpressionsCode0
On the Robustness of Standalone Referring Expression Generation Algorithms Using RDF Data—0
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified