Research map / Label-efficient and robust learning / Domain adaptation and generalization
Optimal Projection Guided Transfer Hashing for Image Retrieval
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use transfer hashing with source-domain data and jointly guided target/source projections | GTH-h · PIE-C29&PIE-C05, 32 bits | MAP (%): 28.96 -> 31.76 | Helped |
| use transfer hashing with source-domain data and jointly guided target/source projections | GTH-h · Amazon&Dslr, 32 bits | MAP (%): 57.21 -> 57.26 | No clear effect |
| use transfer hashing with source-domain data and jointly guided target/source projections | GTH-h · VOC2007&Caltech101, 32 bits | MAP (%): 38.00 -> 48.14 | Helped |
| replace the iteratively weighted loss with Gaussian-error loss (ablation) | GTH-h · PIE-C29&PIE-C05, 32 bits | MAP (%): 31.69 -> 31.76 | Hurt |
| replace the iteratively weighted loss with Gaussian-error loss (ablation) | GTH-h · Amazon&Dslr, 32 bits | MAP (%): 57.26 -> 57.59 | Helped |
| replace the iteratively weighted loss with Gaussian-error loss (ablation) | GTH-h · VOC2007&Caltech101, 32 bits | MAP (%): 46.42 -> 48.14 | Hurt |
| vary regularization parameters λ1 and λ2 within a reasonable range (ablation) | GTH-g and GTH-h · Amazon&Dslr, 64 bits | MAP (%) | No clear effect |
| use fewer target-domain training images | GTH · PIE-C29&PIE-C05, Amazon&Dslr, and VOC2007&Caltech101, 32 bits | MAP | Helped |
Closest papers by meaning
- Transfer Adversarial Hashing for Hamming Space Retrieval (AAAI 2018 · similarity 0.89)
- Optimizing affinity-based binary hashing using auxiliary coordinates (NeurIPS 2016 · similarity 0.89)
- Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation (AAAI 2024 · similarity 0.89)
- Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval (AAAI 2025 · similarity 0.87)
- Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization (ICML 2025 · similarity 0.86)
- Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion (AAAI 2024 · similarity 0.86)
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