Deep edge guided recurrent residual learning for image super-resolution

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[PDF] arxiv.org

Deep learning for single image super-resolution: A brief review

W Yang, X Zhang, Y Tian, W Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Single image super-resolution (SISR) is a notoriously challenging ill-posed problem that
aims to obtain a high-resolution output from one of its low-resolution versions. Recently …
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[PDF] researchgate.net

Deep retinex decomposition for low-light enhancement

C Wei, W Wang, W Yang, J Liu - ar** network using Landsat imagery
D He, Q Shi, X Liu, Y Zhong, G **a… - GIScience & Remote …, 2022 - Taylor & Francis
High resolution of global land cover dynamic is indicative for understanding the influence of
anthropogenic activity on environmental change. However, most of the land cover products …
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[PDF] mdpi.com

Small-object detection in remote sensing images with end-to-end edge-enhanced GAN and object detector network

J Rabbi, N Ray, M Schubert, S Chowdhury, D Chao - Remote Sensing, 2020 - mdpi.com
The detection performance of small objects in remote sensing images has not been
satisfactory compared to large objects, especially in low-resolution and noisy images. A …
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[PDF] arxiv.org

Video coding for machines: A paradigm of collaborative compression and intelligent analytics

L Duan, J Liu, W Yang, T Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Video coding, which targets to compress and reconstruct the whole frame, and feature
compression, which only preserves and transmits the most critical information, stand at two …
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