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 201–225 of 364 papers

TitleStatusHype
Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing—0
Improving the generation of personalised descriptions—0
Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training—0
Informativity in Image Captions vs. Referring Expressions—0
Instance-Aware Generalized Referring Expression Segmentation—0
Intrinsic Task-based Evaluation for Referring Expression Generation—0
Justifying Corpus-Based Choices in Referring Expression Generation—0
Key-Word-Aware Network for Referring Expression Image Segmentation—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
Language-Mediated, Object-Centric Representation Learning—0
Learning Distributions over Logical Forms for Referring Expression Generation—0
Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm—0
Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection—0
Learning to Generate Unambiguous Spatial Referring Expressions for Real-World Environments—0
Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models—0
Learning to Represent Image and Text with Denotation Graph—0
Learning Visual Grounding from Generative Vision and Language Model—0
Lessons from Computational Modelling of Reference Production in Mandarin and English—0
Leveraging Non-Specialists for Accurate and Time Efficient AMR Annotation—0
Leveraging Past References for Robust Language Grounding—0
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation—0
Lite-MDETR: A Lightweight Multi-Modal Detector—0
Look Hear: Gaze Prediction for Speech-directed Human Attention—0
M^2IST: Multi-Modal Interactive Side-Tuning for Efficient Referring Expression Comprehension—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified