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20152023
most citedA continual learning survey: Defying forgetting in classification tasks

1.7k citations · 3.2k across the 31 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

eess.IV2019★ 3 cited

Unsupervised Image Super-Resolution with an Indirect Supervised Path

Zhen Han, Enyan Dai, Xu Jia +5

The task of single image super-resolution (SISR) aims at reconstructing a high-resolution (HR) image from a low-resolution (LR) image. Although significant progress has been made b…

cs.CV2019★ 12 cited

Efficient Residual Dense Block Search for Image Super-Resolution

Dehua Song, Chang Xu, Xu Jia +3

Although remarkable progress has been made on single image super-resolution due to the revival of deep convolutional neural networks, deep learning methods are confronted with the…

cs.CV2019★ 1.7k cited

A continual learning survey: Defying forgetting in classification tasks

Matthias De Lange, Rahaf Aljundi, Marc Masana +5

Artificial neural networks thrive in solving the classification problem for a particular rigid task, acquiring knowledge through generalized learning behaviour from a distinct trai…

cs.CV2019

Co-Evolutionary Compression for Unpaired Image Translation

Han Shu, Yunhe Wang, Xu Jia +5

Generative adversarial networks (GANs) have been successfully used for considerable computer vision tasks, especially the image-to-image translation. However, generators in these n…

cs.CV2019★ 13 cited

Video Generation from Single Semantic Label Map

Junting Pan, Chengyu Wang, Xu Jia +4

This paper proposes the novel task of video generation conditioned on a SINGLE semantic label map, which provides a good balance between flexibility and quality in the generation p…