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 151–200 of 364 papers

TitleStatusHype
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkCode0
Vision-Language Models Are Not Pragmatically Competent in Referring Expression GenerationCode0
Cross-Modal Self-Attention Network for Referring Image SegmentationCode0
Exploring Modulated Detection Transformer as a Tool for Action Recognition in VideosCode0
Visual Referring Expression Recognition: What Do Systems Actually Learn?Code0
Adversarial Robustness for Visual Grounding of Multimodal Large Language ModelsCode0
Single-Stream Multi-Level Alignment for Vision-Language PretrainingCode0
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive TeachersCode0
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring ExpressionsCode0
Learning To Segment Every Referring Object Point by PointCode0
A Joint Speaker-Listener-Reinforcer Model for Referring ExpressionsCode0
Continual Referring Expression Comprehension via Dual Modular MemorizationCode0
Adaptive Reconstruction Network for Weakly Supervised Referring Expression GroundingCode0
MAttNet: Modular Attention Network for Referring Expression ComprehensionCode0
Reasoning About Pragmatics with Neural Listeners and SpeakersCode0
Deconfounded Visual GroundingCode0
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
Grounding Referring Expressions in Images by Variational ContextCode0
Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding—0
Text Augmented Spatial-aware Zero-shot Referring Image Segmentation—0
Text-driven Affordance Learning from Egocentric Vision—0
The Methodius Corpus of Rhetorical Discourse Structures and Generated Texts—0
The Pipeline Model for Resolution of Anaphoric Reference and Resolution of Entity Reference—0
The Solution for the 5th GCAIAC Zero-shot Referring Expression Comprehension Challenge—0
The WebNLG Challenge: Generating Text from RDF Data—0
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures—0
Towards Situated Dialogue: Revisiting Referring Expression Generation—0
Transcrib3D: 3D Referring Expression Resolution through Large Language Models—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
UNITER: Learning UNiversal Image-TExt Representations—0
Unpaired Referring Expression Grounding via Bidirectional Cross-Modal Matching—0
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos—0
Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution—0
Using Referring Expression Generation to Model Literary Style—0
Utilizing Every Image Object for Semi-supervised Phrase Grounding—0
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions—0
Video Referring Expression Comprehension via Transformer with Content-aware Query—0
Video Referring Expression Comprehension via Transformer with Content-conditioned Query—0
Viewpoint-Aware Visual Grounding in 3D Scenes—0
Visual Question Answering based on Local-Scene-Aware Referring Expression Generation—0
VLN BERT: A Recurrent Vision-and-Language BERT for Navigation—0
VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching—0
VQD: Visual Query Detection in Natural Scenes—0
WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar—0
Weakly-supervised segmentation of referring expressions—0
What can Neural Referential Form Selectors Learn?—0
Trainable Referring Expression Generation using Overspecification Preferences—0
3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation—0
A case study on context-bound referring expression generation—0
A Commercial Perspective on Reference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random[email protected]14.6—Unverified