Research map / Image generation / Super-resolution
Feature Super-Resolution: Make Machine See More Clearly
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Apply feature super-resolution (FSR-GAN) to low-resolution query features instead of raw features | VGG16 retrieval features · Oxford5K/Paris/Holidays retrieval at 1/64 scale | retrieval precision: +25% | Helped |
| Enhance features with FSR-GAN at 1/64 downscale | VGG16 features · Feature distance to high-res feature | Euclidean distance: 0.62 | Helped |
| Use pixel-space image super-resolution (SRCNN, VDSR) instead of FSR-GAN | query images · Oxford5K, Paris, Holidays retrieval | mAP | Mixed |
| Decrease query image resolution (down-sampling ratio) without enhancement | raw VGG16 features · Oxford5K retrieval | mAP | Hurt |
| Add distractor Flickr100k images to the database | FSR-GAN retrieval · Oxford5K/Paris/Holidays + Flickr100k | mAP | No clear effect |
| Lower resolution of query on Holidays | FSR-GAN · Holidays | mAP | No clear effect |
Closest papers by meaning
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- SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network (AAAI 2024 · similarity 0.85)
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