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07/21/2022
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
Despite breakthrough advances in image super-resolution (SR) with convol...
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06/16/2022
Controllable Image Enhancement
Editing flat-looking images into stunning photographs requires skill and...
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04/26/2022
Attentive Fine-Grained Structured Sparsity for Image Restoration
Image restoration tasks have witnessed great performance improvement in ...
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12/02/2021
Batch Normalization Tells You Which Filter is Important
The goal of filter pruning is to search for unimportant filters to remov...
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10/08/2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning
In few-shot learning scenarios, the challenge is to generalize and perfo...
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05/17/2021
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Video super-resolution has recently become one of the most important mob...
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12/21/2020
DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks
Quantizing deep convolutional neural networks for image super-resolution...
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12/21/2020
Searching for Controllable Image Restoration Networks
Diverse user preferences over images have recently led to a great amount...
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10/31/2020
Meta-Learning with Adaptive Hyperparameters
Despite its popularity, several recent works question the effectiveness ...
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11/18/2019
Fine-Grained Neural Architecture Search
We present an elegant framework of fine-grained neural architecture sear...
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07/10/2017