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12/16/2022
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields
Hinged on the representation power of neural networks, neural radiance f...
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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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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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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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08/21/2020
Domain Adaptation of Learned Features for Visual Localization
We tackle the problem of visual localization under changing conditions, ...
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04/02/2020
Scene-Adaptive Video Frame Interpolation via Meta-Learning
Video frame interpolation is a challenging problem because there are dif...
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06/13/2019
