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

994 citations · 1.3k across the 13 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020

Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection

Nian Liu, Ni Zhang, Ling Shao +1

How to effectively fuse cross-modal information is the key problem for RGB-D salient object detection. Early fusion and the result fusion schemes fuse RGB and depth information at…

cs.CV2020213 cited

Revisiting Anchor Mechanisms for Temporal Action Localization

Le Yang, Houwen Peng, Dingwen Zhang +2

Most of the current action localization methods follow an anchor-based pipeline: depicting action instances by pre-defined anchors, learning to select the anchors closest to the gr…

cs.CV20207 cited

Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization

Tao Zhao, Junwei Han, Le Yang +1

Weakly supervised temporal action localization is a newly emerging yet widely studied topic in recent years. The existing methods can be categorized into two localization-by-classi…

cs.CV2020

Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning

Jinglin Xu, Wenbin Li, Jiantao Shen +5

As a concrete application of multi-view learning, multi-view classification improves the traditional classification methods significantly by integrating various views optimally. Al…

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…