output
20162026
most citedGAN Augmentation: Augmenting Training Data using Generative Adversarial Networks

353 citations

Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 9 cited

NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution

Stylianos I. Venieris, Mario Almeida, Royson Lee +1

In recent years, image and video delivery systems have begun integrating deep learning super-resolution (SR) approaches, leveraging their unprecedented visual enhancement capabilit…

cs.CV2022★ 29 cited

Prediction Calibration for Generalized Few-shot Semantic Segmentation

Zhihe Lu, Sen He, Da Li +2

Generalized Few-shot Semantic Segmentation (GFSS) aims to segment each image pixel into either base classes with abundant training examples or novel classes with only a handful of…

cs.CV2022★ 5 cited

Relevance-based Margin for Contrastively-trained Video Retrieval Models

Alex Falcon, Swathikiran Sudhakaran, Giuseppe Serra +2

Video retrieval using natural language queries has attracted increasing interest due to its relevance in real-world applications, from intelligent access in private media galleries…

cs.CV2022★ 9 cited

Fast Hybrid Image Retargeting

Daniel Valdez-Balderas, Oleg Muraveynyk, Timothy Smith

Image retargeting changes the aspect ratio of images while aiming to preserve content and minimise noticeable distortion. Fast and high-quality methods are particularly relevant at…

cs.CV2022★ 53 cited

Dynamic Instance Domain Adaptation

Zhongying Deng, Kaiyang Zhou, Da Li +3

Most existing studies on unsupervised domain adaptation (UDA) assume that each domain's training samples come with domain labels (e.g., painting, photo). Samples from each domain a…