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Exploring Deeper! Segment Anything Model with Depth Perception for
  Camouflaged Object Detection

Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection

17 July 2024
Zhenni Yu
Xiaoqin Zhang
Li Zhao
Yi Bin
Guobao Xiao
    VLM
ArXivPDFHTML

Papers citing "Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection"

5 / 5 papers shown
Title
Deep Learning in Concealed Dense Prediction
Deep Learning in Concealed Dense Prediction
Pancheng Zhao
Deng-Ping Fan
Shupeng Cheng
Salman Khan
F. Khan
David A. Clifton
P. Xu
Jufeng Yang
VLM
22
0
0
15 Apr 2025
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
Improving SAM for Camouflaged Object Detection via Dual Stream Adapters
Jiaming Liu
Linghe Kong
Guihai Chen
56
0
0
08 Mar 2025
RGB-D Saliency Detection via Cascaded Mutual Information Minimization
RGB-D Saliency Detection via Cascaded Mutual Information Minimization
Jing Zhang
Deng-Ping Fan
Yuchao Dai
Xin Yu
Yiran Zhong
Nick Barnes
Ling Shao
46
93
0
15 Sep 2021
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
311
0
21 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,538
0
24 Feb 2021
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