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19962026
most citedAn Introduction to Convolutional Neural Networks

951 citations

Showing 2020 · cs.CVShow all

6 papers · 2 filters

cs.CV2020★ 228 cited

Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

Haokui Zhang, Ying Li, Yenan Jiang +3

Recently, hyperspectral image (HSI) classification approaches based on deep learning (DL) models have been proposed and shown promising performance. However, because of very limite…

cs.CV2020★ 35 cited

FFD: Fast Feature Detector

Morteza Ghahremani, Yonghuai Liu, Bernard Tiddeman

Scale-invariance, good localization and robustness to noise and distortions are the main properties that a local feature detector should possess. Most existing local feature detect…

cs.CV2020★ 4 cited

Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning

Xinzheng Zhang, Hang Su, Ce Zhang +3

Small area change detection from synthetic aperture radar (SAR) is a highly challenging task. In this paper, a robust unsupervised approach is proposed for small area change detect…

cs.CV2020★ 2 cited

Orderly Disorder in Point Cloud Domain

Morteza Ghahremani, Bernard Tiddeman, Yonghuai Liu +1

In the real world, out-of-distribution samples, noise and distortions exist in test data. Existing deep networks developed for point cloud data analysis are prone to overfitting an…

cs.CV2020★ 5 cited

NAS-Count: Counting-by-Density with Neural Architecture Search

Yutao Hu, Xiaolong Jiang, Xuhui Liu +4

Most of the recent advances in crowd counting have evolved from hand-designed density estimation networks, where multi-scale features are leveraged to address the scale variation p…

cs.CV2020★ 16 cited

Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

Liuyu Xiang, Guiguang Ding, Jungong Han

In real-world scenarios, data tends to exhibit a long-tailed distribution, which increases the difficulty of training deep networks. In this paper, we propose a novel self-paced kn…