Research map / Vision-language and multimodal / Cross-modal learning
Long-Tail Cross Modal Hashing
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add commonality learning (ablation) | LtCMH · Long-tail Flickr25K and NUS-WIDE | MAP | Helped |
| Add individuality learning (ablation) | LtCMH · Long-tail Flickr25K and NUS-WIDE | MAP | Helped |
| Add both individuality and commonality learning (ablation) | LtCMH · Long-tail Flickr25K and NUS-WIDE | MAP | Helped |
| Use image-modality meta features (ablation) | LtCMH · Long-tail Flickr25K and NUS-WIDE | MAP | Helped |
| Use text-modality meta features (ablation) | LtCMH · Long-tail Flickr25K and NUS-WIDE | MAP | Helped |
| Combine modality-specific individuality, cross-modal commonality, and direct features as dynamic meta features | LtCMH · Long-tail Flickr25K and NUS-WIDE | MAP | Helped |
| Use LtCMH instead of SSAH | Cross-modal hashing · Balanced NUS-WIDE T→I, 16-bit | MAP | Hurt |
Closest papers by meaning
- Dual Self-Paced Cross-Modal Hashing (AAAI 2024 · similarity 0.87)
- Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval (AAAI 2017 · similarity 0.86)
- Semi-Supervised Online Cross-Modal Hashing (AAAI 2025 · similarity 0.85)
- Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels (AAAI 2025 · similarity 0.84)
- Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval (AAAI 2025 · similarity 0.83)
- Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval (AAAI 2025 · similarity 0.83)
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