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Chapter and Conference Paper
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer
Current few-shot learning models capture visual object relations in the so-called meta-learning setting under a fixed-resolution input. However, such models have a limited generalization ability under the scal...
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Chapter and Conference Paper
Fine-Grained Video Deblurring with Event Camera
Despite CNN-based deblurring models have shown their superiority on solving motion blurs, how to restore photorealistic images from severe motion blurs remains an ill-posed problem due to the loss of temporal ...