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 1–50 of 364 papers

TitleStatusHype
Mask-aware Text-to-Image Retrieval: Referring Expression Segmentation Meets Cross-modal Retrieval—0
Detecting Referring Expressions in Visually Grounded Dialogue with Autoregressive Language ModelsCode0
Referring Expression Instance Retrieval and A Strong End-to-End Baseline—0
Gondola: Grounded Vision Language Planning for Generalizable Robotic Manipulation—0
Synthetic Visual Genome—0
Refer to Anything with Vision-Language Prompts—0
From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes—0
Rex-Thinker: Grounded Object Referring via Chain-of-Thought Reasoning—0
RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions—0
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text ModelsCode2
Improving Contrastive Learning for Referring Expression CountingCode0
Deformable Attentive Visual Enhancement for Referring Segmentation Using Vision-Language Model—0
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and SegmentationCode0
RemoteSAM: Towards Segment Anything for Earth ObservationCode3
Learning to Reason and Navigate: Parameter Efficient Action Planning with Large Language Models—0
RESAnything: Attribute Prompting for Arbitrary Referring Segmentation—0
Vision-Language Models Are Not Pragmatically Competent in Referring Expression GenerationCode0
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation—0
3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation—0
Towards Unified Referring Expression Segmentation Across Omni-Level Visual Target GranularitiesCode0
4th PVUW MeViS 3rd Place Report: Sa2VACode5
MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote SensingCode0
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding—0
Exploring Contextual Attribute Density in Referring Expression CountingCode1
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
Cognitive Disentanglement for Referring Multi-Object Tracking—0
GroundingSuite: Measuring Complex Multi-Granular Pixel GroundingCode2
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word EmphasisCode1
New Dataset and Methods for Fine-Grained Compositional Referring Expression Comprehension via Specialist-MLLM CollaborationCode1
PixFoundation: Are We Heading in the Right Direction with Pixel-level Vision Foundation Models?Code1
Exploring Spatial Language Grounding Through Referring Expressions—0
RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone ScenesCode1
NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic ReasoningCode1
Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities—0
FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis—0
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks—0
Multi-task Visual Grounding with Coarse-to-Fine Consistency ConstraintsCode1
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression SegmentationCode1
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension—0
Exploring Contextual Attribute Density in Referring Expression CountingCode1
DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension—0
Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding—0
Towards Visual Grounding: A SurveyCode3
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression SegmentationCode1
Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension—0
Instance-Aware Generalized Referring Expression Segmentation—0
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation—0
SegLLM: Multi-round Reasoning Segmentation—0
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal ModelsCode0
Text4Seg: Reimagining Image Segmentation as Text GenerationCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RandomAcc@0.5m14.6—Unverified