Research map / Label-efficient and robust learning / Test-time adaptation
Sketch3T: Test-Time Training for Zero-Shot SBIR
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add single-sketch test-time adaptation using sketch raster-to-vector reconstruction, meta-learning, and learned stroke weights | Sketch3T · Sketchy (ext) | mAP@all: 0.526 -> 0.575 | Helped |
| add single-sketch test-time adaptation using sketch raster-to-vector reconstruction, meta-learning, and learned stroke weights | Sketch3T · TU Berlin (ext) | mAP@all: 0.475 -> 0.507 | Helped |
| add meta-learning to the auxiliary-task training and test-time adaptation (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.487 -> 0.575 | Helped |
| add the auxiliary task and test-time training (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.368 -> 0.575 | Helped |
| add learned stroke-specific reconstruction weights (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.561 -> 0.575 | Helped |
| use photo-to-edgemap translation instead of photo-to-photo reconstruction (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.546 -> 0.575 | Helped |
| use sketch raster-to-vector reconstruction rather than image-to-image reconstruction (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.528 -> 0.575 | Helped |
| use reconstruction rather than rotation classification as the auxiliary task (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.511 -> 0.575 | Helped |
| use reconstruction rather than affine transformation as the auxiliary task (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.524 -> 0.575 | Helped |
| use a GRU sketch decoder instead of an LSTM (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.568 -> 0.575 | Helped |
| use a GRU sketch decoder instead of a Transformer (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.562 -> 0.575 | Helped |
| use absolute rather than offset coordinates for sketch decoding (ablation) | Sketch3T · Sketchy (ext) | mAP@all: 0.570 -> 0.575 | Helped |
Closest papers by meaning
- CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not (CVPR 2023 · similarity 0.92)
- Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval (CVPR 2019 · similarity 0.92)
- Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval (AAAI 2024 · similarity 0.90)
- How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval? (CVPR 2024 · similarity 0.88)
- ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling (AAAI 2025 · similarity 0.88)
- Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers (CVPR 2024 · similarity 0.88)
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