Research map / Vision-language and multimodal / Cross-modal learning
Learning Semantic Relationship Among Instances for Image-Text Matching
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add instance-level cross-modal and intra-modal relation modeling (ablation) | HREM image-text matching · Flickr30K | R@1 IMG → TEXT: 81.6 -> 83.3 | Helped |
| Add the connection matrix A (ablation) | HREM image-text matching · Flickr30K | R@1 IMG → TEXT: 81.4 -> 83.3 | Helped |
| Add the relevance matrix S (ablation) | HREM image-text matching · Flickr30K | R@1 IMG → TEXT: 81.7 -> 83.3 | Helped |
| Add relevance regularization Lreg (ablation) | HREM image-text matching · Flickr30K | R@1 IMG → TEXT: 82.8 -> 83.3 | Helped |
| Add neighbor batch sampling (ablation) | HREM image-text matching · Flickr30K | R@1 IMG → TEXT: 82.8 -> 83.3 | Helped |
| Use the fusion mechanism instead of the full ensemble (ablation) | HREM · Flickr30K 1K | rSum: 520.4 -> 524.2 | Hurt |
| Add sample relation modeling during training | HREM image-text matching · Flickr30K hard samples (5%) | R@1 IMG → TEXT: 74.6 -> 76.0 | Helped |
| Add sample relation modeling during training | HREM image-text matching · Flickr30K infrequent samples (5%) | R@1 IMG → TEXT: 79.2 -> 84.0 | Helped |
| Add hierarchical instance-level relation modeling | HREM image-text matching · Flickr30K 1K | rSum: 513.5 -> 524.2 | Helped |
Closest papers by meaning
- Composing Object Relations and Attributes for Image-Text Matching (CVPR 2024 · similarity 0.89)
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- DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning (CVPR 2025 · similarity 0.86)
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