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 201–250 of 364 papers

TitleStatusHype
Adapting Descriptions of People to the Point of View of a Moving Observer—0
A Linguistic Perspective on Reference: Choosing a Feature Set for Generating Referring Expressions in Context—0
An Empirical Approach for Modeling Fuzzy Geographical Descriptors—0
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning—0
An Incremental Iterated Response Model of Pragmatics—0
A Predictive Model for Notional Anaphora in English—0
A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension—0
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments—0
Assessing Neural Referential Form Selectors on a Realistic Multilingual Dataset—0
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory—0
A Unified Mutual Supervision Framework for Referring Expression Segmentation and Generation—0
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding—0
Bi-Directional Relationship Inferring Network for Referring Image Segmentation—0
Bridging the Gap Between Object Detection and User Intent via Query-Modulation—0
Building Multimodal Simulations for Natural Language—0
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation—0
Cognitive Disentanglement for Referring Multi-Object Tracking—0
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos—0
Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures—0
Evaluating and Improving Interactions with Hazy Oracles—0
Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction—0
Comprehension-guided referring expressions—0
Computational Interpretations of Recency for the Choice of Referring Expressions in Discourse—0
CoNAN: A Complementary Neighboring-based Attention Network for Referring Expression Generation—0
Constructing Distributions of Variation in Referring Expression Type from Corpora for Model Evaluation—0
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training—0
Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension—0
Corpus-based Referring Expressions Generation—0
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding—0
Creating Training Corpora for NLG Micro-Planners—0
Decoding Strategies for Neural Referring Expression Generation—0
Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation—0
Deformable Attentive Visual Enhancement for Referring Segmentation Using Vision-Language Model—0
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension—0
DisCLIP: Open-Vocabulary Referring Expression Generation—0
Discovering User Groups for Natural Language Generation—0
Dual Convolutional LSTM Network for Referring Image Segmentation—0
DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension—0
Dynamic Graph Attention for Referring Expression Comprehension—0
Dynamic Inference With Grounding Based Vision and Language Models—0
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs—0
End-to-End Neural Context Reconstruction in Chinese Dialogue—0
Event versus entity co-reference: Effects of context and form of referring expression—0
Exploring Spatial Language Grounding Through Referring Expressions—0
Exploring the Behavior of Classic REG Algorithms in the Description of Characters in 3D Images—0
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation—0
FindIt: Generalized Localization with Natural Language Queries—0
FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis—0
From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes—0
Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random[email protected]14.6—Unverified