Research map / Image generation / Autoregressive and latent generation
Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Combine CLIP image and text features with a learned Combiner network | FashionIQ retrieval · FashionIQ validation (average) | R@10: 29.08 -> 35.39 | Helped |
| Combine CLIP image and text features with a learned Combiner network | FashionIQ retrieval · FashionIQ validation (average) | R@50: 54.70 -> 59.03 | Helped |
| Combine CLIP image and text features with a learned Combiner network | CIRR retrieval · CIRR test | R@1: 19.55 -> 33.59 | Helped |
| Combine CLIP image and text features with a learned Combiner network | CIRR retrieval · CIRR test | R@5: 52.55 -> 65.35 | Helped |
| Combine CLIP image and text features with a learned Combiner network | CIRR retrieval · CIRR test | R@10: 68.39 -> 77.35 | Helped |
| Combine CLIP image and text features with a learned Combiner network | CIRR retrieval · CIRR test | R@50: 92.38 -> 95.21 | Helped |
| Combine CLIP image and text features with a learned Combiner network | CIRR retrieval · CIRR test | RSubset@1: 39.20 -> 62.39 | Helped |
Closest papers by meaning
- Composed Query Image Retrieval Using Locally Bounded Features (CVPR 2020 · similarity 0.81)
- Instance-Level Composed Image Retrieval (NeurIPS 2025 · similarity 0.81)
- Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification (CVPR 2024 · similarity 0.81)
- Alpha-CLIP: A CLIP Model Focusing on Wherever You Want (CVPR 2024 · similarity 0.79)
- You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval (CVPR 2024 · similarity 0.78)
- Sentence-level Prompts Benefit Composed Image Retrieval (ICLR 2024 · similarity 0.78)
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