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 151–175 of 364 papers

TitleStatusHype
FindIt: Generalized Localization with Natural Language Queries—0
Comprehension-guided referring expressions—0
A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension—0
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation—0
Exploring the Behavior of Classic REG Algorithms in the Description of Characters in 3D Images—0
Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction—0
Exploring Spatial Language Grounding Through Referring Expressions—0
Evaluating and Improving Interactions with Hazy Oracles—0
MUTATT: Visual-Textual Mutual Guidance for Referring Expression Comprehension—0
M^2IST: Multi-Modal Interactive Side-Tuning for Efficient Referring Expression Comprehension—0
Look Hear: Gaze Prediction for Speech-directed Human Attention—0
Lite-MDETR: A Lightweight Multi-Modal Detector—0
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation—0
Combining Referring Expression Generation and Surface Realization: A Corpus-Based Investigation of Architectures—0
Leveraging Past References for Robust Language Grounding—0
Leveraging Non-Specialists for Accurate and Time Efficient AMR Annotation—0
Event versus entity co-reference: Effects of context and form of referring expression—0
Lessons from Computational Modelling of Reference Production in Mandarin and English—0
Learning Visual Grounding from Generative Vision and Language Model—0
Co-Grounding Networks with Semantic Attention for Referring Expression Comprehension in Videos—0
A Predictive Model for Notional Anaphora in English—0
Learning to Represent Image and Text with Denotation Graph—0
Modular Graph Attention Network for Complex Visual Relational Reasoning—0
Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models—0
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified