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Referring Expression Comprehension

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Showing 51–100 of 167 papers

TitleStatusHype
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language ModelsCode1
A Survivor in the Era of Large-Scale Pretraining: An Empirical Study of One-Stage Referring Expression ComprehensionCode1
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression ComprehensionCode1
SeqTR: A Simple yet Universal Network for Visual GroundingCode1
Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point CloudsCode1
Referring Transformer: A One-step Approach to Multi-task Visual GroundingCode1
MDETR -- Modulated Detection for End-to-End Multi-Modal UnderstandingCode1
TransVG: End-to-End Visual Grounding with TransformersCode1
Unifying Vision-and-Language Tasks via Text GenerationCode1
TRAR: Routing the Attention Spans in Transformer for Visual Question AnsweringCode1
Large-Scale Adversarial Training for Vision-and-Language Representation LearningCode1
Multi-task Collaborative Network for Joint Referring Expression Comprehension and SegmentationCode1
UNITER: UNiversal Image-TExt Representation LearningCode1
Talk2Car: Taking Control of Your Self-Driving CarCode1
VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsCode1
A Fast and Accurate One-Stage Approach to Visual GroundingCode1
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksCode1
Explainable Neural Computation via Stack Neural Module NetworksCode1
Compositional Attention Networks for Machine ReasoningCode1
Referring Expression Instance Retrieval and A Strong End-to-End Baseline—0
Synthetic Visual Genome—0
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and SegmentationCode0
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding—0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
Exploring Spatial Language Grounding Through Referring Expressions—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
Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension—0
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
Harlequin: Color-driven Generation of Synthetic Data for Referring Expression Comprehension—0
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal ModelsCode0
Make Graph-based Referring Expression Comprehension Great Again through Expression-guided Dynamic Gating and Regression—0
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
Revisiting Multi-Modal LLM Evaluation—0
MaskInversion: Localized Embeddings via Optimization of Explainability Maps—0
Learning Visual Grounding from Generative Vision and Language Model—0
The Solution for the 5th GCAIAC Zero-shot Referring Expression Comprehension Challenge—0
M^2IST: Multi-Modal Interactive Side-Tuning for Efficient Referring Expression Comprehension—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
ScanFormer: Referring Expression Comprehension by Iteratively Scanning—0
Adversarial Robustness for Visual Grounding of Multimodal Large Language ModelsCode0
Text-driven Affordance Learning from Egocentric Vision—0
PropTest: Automatic Property Testing for Improved Visual Programming—0
WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar—0
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training—0
Revisiting Counterfactual Problems in Referring Expression ComprehensionCode0
Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction—0
Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects—0
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