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20162022
most citedRemote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

994 citations · 1k across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG202232 cited

Adaptive neighborhood Metric learning

Kun Song, Junwei Han, Gong Cheng +2

In this paper, we reveal that metric learning would suffer from serious inseparable problem if without informative sample mining. Since the inseparable samples are often mixed with…

cs.CV2021

Weakly Supervised Object Localization and Detection: A Survey

Dingwen Zhang, Junwei Han, Gong Cheng +1

As an emerging and challenging problem in the computer vision community, weakly supervised object localization and detection plays an important role for developing new generation c…

cs.CV2020994 cited

Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

Gong Cheng, Xingxing Xie, Junwei Han +2

Remote sensing image scene classification, which aims at labeling remote sensing images with a set of semantic categories based on their contents, has broad applications in a range…

cs.CV2019

Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark

Ke Li, Gang Wan, Gong Cheng +2

Substantial efforts have been devoted more recently to presenting various methods for object detection in optical remote sensing images. However, the current survey of datasets and…

cs.CV2016

A Survey on Object Detection in Optical Remote Sensing Images

Gong Cheng, Junwei Han

Object detection in optical remote sensing images, being a fundamental but challenging problem in the field of aerial and satellite image analysis, plays an important role for a wi…