SOTAVerified

Referring Expression

Referring expressions places a bounding box around the instance corresponding to the provided description and image.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 364 papers

TitleStatusHype
Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning—0
Robust Visual Reasoning via Language Guided Neural Module Networks—0
SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation—0
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation—0
ScanFormer: Referring Expression Comprehension by Iteratively Scanning—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified