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Xichuan Zhou

4 papers hereh-index 161k citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2
same name
  • Xichuan Zhou — 3 papers, h 16
  • Xichuan Zhou — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162020
most citedTwo-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection

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

collaborators

4 papers

cs.CV2020

Probability Weighted Compact Feature for Domain Adaptive Retrieval

Fuxiang Huang, Lei Zhang, Yang Yang +1

Domain adaptive image retrieval includes single-domain retrieval and cross-domain retrieval. Most of the existing image retrieval methods only focus on single-domain retrieval, whi…

cs.CV2020★ 3 cited

Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection

Xinzheng Zhang, Guo Liu, Ce Zhang +5

Change detection is one of the fundamental applications of synthetic aperture radar (SAR) images. However, speckle noise presented in SAR images has a much negative effect on chang…

cs.LG2019

When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies

Zheyu Yan, Yiyu Shi, Wang Liao +3

Deep Neural Network has proved its potential in various perception tasks and hence become an appealing option for interpretation and data processing in security sensitive systems.…

cs.LG2016

Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections

Xichuan Zhou, Shengli Li, Kai Qin +5

Deep neural networks are state-of-the-art models for understanding the content of images, video and raw input data. However, implementing a deep neural network in embedded systems…

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