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Exploring Depth Contribution for Camouflaged Object Detection

Exploring Depth Contribution for Camouflaged Object Detection

24 June 2021
Mochu Xiang
Jing Zhang
Yun-Qiu Lv
Aixuan Li
Yiran Zhong
Yuchao Dai
ArXivPDFHTML

Papers citing "Exploring Depth Contribution for Camouflaged Object Detection"

6 / 6 papers shown
Title
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object
  Detectors by Generating Camouflaged Objects
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
Chunming He
Kai Li
Yachao Zhang
Yulun Zhang
Z. Guo
Xiu Li
Martin Danelljan
F. I. F. Richard Yu
AAML
25
44
0
06 Aug 2023
Referring Camouflaged Object Detection
Referring Camouflaged Object Detection
Xuying Zhang
Bo Yin
Zheng Lin
Qibin Hou
Deng-Ping Fan
Ming-Ming Cheng
24
16
0
13 Jun 2023
Source-free Depth for Object Pop-out
Source-free Depth for Object Pop-out
Zongwei Wu
D. Paudel
Deng-Ping Fan
Jingjing Wang
Shuo Wang
C. Demonceaux
Radu Timofte
Luc Van Gool
24
43
0
10 Dec 2022
Camouflaged Object Segmentation with Distraction Mining
Camouflaged Object Segmentation with Distraction Mining
Haiyang Mei
Ge-Peng Ji
Ziqi Wei
Xin Yang
Xiaopeng Wei
Deng-Ping Fan
114
238
0
21 Apr 2021
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
Lingkai Kong
Jimeng Sun
Chao Zhang
UQCV
42
101
0
24 Aug 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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