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Referring Expression Comprehension

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Showing 101–125 of 167 papers

TitleStatusHype
RefCrowd: Grounding the Target in Crowd with Referring Expressions—0
WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar—0
Referring Expression Comprehension: A Survey of Methods and Datasets—0
Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension—0
Referring Expression Instance Retrieval and A Strong End-to-End Baseline—0
Video Referring Expression Comprehension via Transformer with Content-aware Query—0
RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension—0
Revisiting Multi-Modal LLM Evaluation—0
ScanFormer: Referring Expression Comprehension by Iteratively Scanning—0
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding—0
Dynamic Graph Attention for Referring Expression Comprehension—0
Dynamic Inference With Grounding Based Vision and Language Models—0
DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension—0
Differentiated Relevances Embedding for Group-based Referring Expression Comprehension—0
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
Exploring Spatial Language Grounding Through Referring Expressions—0
FindIt: Generalized Localization with Natural Language Queries—0
Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks—0
FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis—0
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping—0
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding—0
Synthetic Visual Genome—0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
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