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 251–300 of 364 papers

TitleStatusHype
Scene-Intuitive Agent for Remote Embodied Visual Grounding—0
See-Through-Text Grouping for Referring Image Segmentation—0
SegLLM: Multi-round Reasoning Segmentation—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
Semi-automatic definite description annotation: a first report—0
SemScribe: Natural Language Generation for Medical Reports—0
Specificity measures and reference—0
Squib: Effects of Cognitive Effort on the Resolution of Overspecified Descriptions—0
Statistical NLG for Generating the Content and Form of Referring Expressions—0
SUGAR: Pre-training 3D Visual Representations for Robotics—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks—0
Synthetic Visual Genome—0
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
Trainable Referring Expression Generation using Overspecification Preferences—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
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension—0
Recurrent Instance Segmentation using Sequences of Referring Expressions—0
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension—0
RefCrowd: Grounding the Target in Crowd with Referring Expressions—0
RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions—0
Reference production in human-computer interaction: Issues for Corpus-based Referring Expression Generation—0
Refer-iTTS: A System for Referring in Spoken Installments to Objects in Real-World Images—0
Reasoning About Pragmatics with Neural Listeners and SpeakersCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified