Cross-Modal Visual Correspondences Learning Without External Semantic Information for Zero-Shot Sketch-Based Image Retrieval

Zhijie Gao; Kai Wang

doi:10.1007/978-981-99-9109-9_34

ScienceGate Book Chapters

BOOK-CHAPTER

Cross-Modal Visual Correspondences Learning Without External Semantic Information for Zero-Shot Sketch-Based Image Retrieval

Zhijie Gao Kai Wang

Year: 2024 Communications in computer and information science Pages: 342-353 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-9109-9_34

Get Full-Text PDF Get Analytical Report

Keywords:

Sketch Computer science Semantic gap Artificial intelligence Transformer Modal Pattern recognition (psychology) Image (mathematics) Image retrieval Algorithm

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.01

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Cross-Modal Visual Correspondences Learning Without External Semantic Information for Zero-Shot Sketch-Based Image Retrieval

Metrics

Topics

Related Documents

Progressive Cross-Modal Semantic Network for Zero-Shot Sketch-Based Image Retrieval

Hyperbolic-Based Cross-Modal Semantic Remodeling Network for Zero-Shot Sketch-Based Image Retrieval

Cross-Modal Relation and Sketch Prototype Learning for Zero-Shot Sketch-Based Image Retrieval

Deep cross-modal discriminant adversarial learning for zero-shot sketch-based image retrieval

WAD-CMSN: Wasserstein distance-based cross-modal semantic network for zero-shot sketch-based image retrieval