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20172023
most citedExtreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification

36 citations · 108 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2020★ 20 cited

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei, Hannan Lu, Radu Timofte +68

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…

cs.CV2020

DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution

Yukai Shi, Haoyu Zhong, Zhijing Yang +2

Different from traditional image super-resolution task, real image super-resolution(Real-SR) focus on the relationship between real-world high-resolution(HR) and low-resolution(LR)…

cs.CV2017★ 25 cited

Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image

Faxian Cao, Zhijing Yang, Jinchang Ren +2

As a new machine learning approach, extreme learning machine (ELM) has received wide attentions due to its good performances. However, when directly applied to the hyperspectral im…

cs.CV2017★ 16 cited

Does Normalization Methods Play a Role for Hyperspectral Image Classification?

Faxian Cao, Zhijing Yang, Jinchang Ren +2

For Hyperspectral image (HSI) datasets, each class have their salient feature and classifiers classify HSI datasets according to the class's saliency features, however, there will…

cs.CV2017★ 36 cited

Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification

Faxian Cao, Zhijing Yang, Jinchang Ren +1

Although the sparse multinomial logistic regression (SMLR) has provided a useful tool for sparse classification, it suffers from inefficacy in dealing with high dimensional feature…