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20152022
most citedPrediction of Sea Surface Temperature using Long Short-Term Memory

490 citations · 944 across the 31 of their papers we have counts for

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29 papers · 1 filter

cs.CV2022

Lightweight Monocular Depth Estimation with an Edge Guided Network

Xingshuai Dong, Matthew A. Garratt, Sreenatha G. Anavatti +2

Monocular depth estimation is an important task that can be applied to many robotic applications. Existing methods focus on improving depth estimation accuracy via training increas…

cs.CV20224 cited

Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network

Junjie Wang, Feng Gao, Junyu Dong +2

Synthetic aperture radar (SAR) image change detection is a vital yet challenging task in the field of remote sensing image analysis. Most previous works adopt a self-supervised met…

cs.CV2022108 cited

Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification

Junjie Wang, Feng Gao, Junyu Dong +1

In recent years, hyperspectral image (HSI) classification based on generative adversarial networks (GAN) has achieved great progress. GAN-based classification methods can mitigate…

cs.CV202138 cited

Incorporating Lambertian Priors into Surface Normals Measurement

Yakun Ju, Muwei Jian, Shaoxiang Guo +3

The goal of photometric stereo is to measure the precise surface normal of a 3D object from observations with various shading cues. However, non-Lambertian surfaces influence the m…

cs.CV2021

Wallpaper Texture Generation and Style Transfer Based on Multi-label Semantics

Ying Gao, Xiaohan Feng, Tiange Zhang +4

Textures contain a wealth of image information and are widely used in various fields such as computer graphics and computer vision. With the development of machine learning, the te…

cs.CV20213 cited

Knowledge Distillation via Instance-level Sequence Learning

Haoran Zhao, Xin Sun, Junyu Dong +2

Recently, distillation approaches are suggested to extract general knowledge from a teacher network to guide a student network. Most of the existing methods transfer knowledge from…