Research map / Vision-language and multimodal / Cross-modal learning
Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval
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Proposes a cross-modal hashing method combining dynamic masking and auxiliary hash learning to improve cross-modal hash retrieval.
Problem
Existing cross-modal hashing methods struggle to fully capture the semantic information of different modalities, limiting cross-modal hash retrieval performance.
Approach
Uses dynamic masking together with an auxiliary hash learning objective to enhance semantic capture for cross-modal hashing; specific mechanism is not detailed in the available abstract.
Closest papers by meaning
- Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval (AAAI 2025 · similarity 0.92)
- Dual Self-Paced Cross-Modal Hashing (AAAI 2024 · similarity 0.90)
- Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels (AAAI 2025 · similarity 0.90)
- Asymmetric Cross-Modal Hashing Based on Formal Concept Analysis (AAAI 2025 · similarity 0.90)
- An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval (NeurIPS 2024 · similarity 0.90)
- PromptHash:Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrieval (CVPR 2025 · similarity 0.89)
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