General Recurrent Attention Model for Jointly Multiple Object Recognition and Weakly Supervised Localization

2018 25th IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2018.8451789 ◽

2018 ◽

Author(s):

Zijian Zhao ◽

Xingming Wu ◽

Peter C.Y. Chen ◽

Weihai Chen

Keyword(s):

Object Recognition ◽

Attention Model ◽

Multiple Object ◽

Weakly Supervised

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Enriched Deep Recurrent Visual Attention Model for Multiple Object Recognition

2017 IEEE Winter Conference on Applications of Computer Vision (WACV) ◽

10.1109/wacv.2017.113 ◽

2017 ◽

Author(s):

Artsiom Ablavatski ◽

Shijian Lu ◽

Jianfei Cai

Keyword(s):

Object Recognition ◽

Visual Attention ◽

Visual Attention Model ◽

Attention Model ◽

Multiple Object

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Box-driven Weakly Supervised Images Semantic Segmentation Algorithm Based on Attention Model

10.1109/smc52423.2021.9658786 ◽

2021 ◽

Author(s):

Jianxin Liu ◽

Yushui Geng ◽

Jing Zhao ◽

Wenxiao Li ◽

Kang Zhang

Keyword(s):

Semantic Segmentation ◽

Segmentation Algorithm ◽

Attention Model ◽

Weakly Supervised

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Weakly Supervised Triplet Learning of Canonical Plane Transformation for Joint Object Recognition and Pose Estimation

2019 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2019.8803383 ◽

2019 ◽

Author(s):

Kouki Ueno ◽

Go Irie ◽

Masashi Nishiyama ◽

Yoshio Iwai

Keyword(s):

Object Recognition ◽

Pose Estimation ◽

Weakly Supervised

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Non-Rectangular RoI Extraction and Machine Learning Based Multiple Object Recognition Used for Time-Series Areal Images Obtained Using MAV

Procedia Computer Science ◽

10.1016/j.procs.2018.07.280 ◽

2018 ◽

Vol 126 ◽

pp. 462-471 ◽

Author(s):

Hirokazu Madokoro ◽

Asahi Kainuma ◽

Kazuhito Sato

Keyword(s):

Machine Learning ◽

Time Series ◽

Object Recognition ◽

Multiple Object ◽

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Weakly Supervised Deep Convolutional Networks for Fine-Grained Object Recognition in Multispectral Images

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8899170 ◽

2019 ◽

Author(s):

Bulut Aygunes ◽

Selim Aksoy ◽

Ramazan Gokberk Cinbis

Keyword(s):

Object Recognition ◽

Multispectral Images ◽

Fine Grained ◽

Convolutional Networks ◽

Weakly Supervised

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Multiple object recognition by digital holography with a wavelength-tuned laser diode

10.1117/12.677165 ◽

2006 ◽

Author(s):

Yukihiro Ishii ◽

Takeshi Takahashi

Keyword(s):

Object Recognition ◽

Laser Diode ◽

Digital Holography ◽

Multiple Object

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Determinant of homography-matrix-based multiple-object recognition

10.1117/12.2003767 ◽

2013 ◽

Author(s):

Nagachetan Bangalore ◽

Madhu Kiran ◽

Anil Suryaprakash

Keyword(s):

Object Recognition ◽

Multiple Object

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Familiarity based unified visual attention model for fast and robust object recognition

Pattern Recognition ◽

10.1016/j.patcog.2009.07.014 ◽

2010 ◽

Vol 43 (3) ◽

pp. 1116-1128 ◽

Author(s):

Seungjin Lee ◽

Kwanho Kim ◽

Joo-Young Kim ◽

Minsu Kim ◽

Hoi-Jun Yoo

Keyword(s):

Object Recognition ◽

Visual Attention ◽

Visual Attention Model ◽

Attention Model

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NOVEL MULTI-CLASS SVM ALGORITHM FOR MULTIPLE OBJECT RECOGNITION

International Journal on Smart Sensing and Intelligent Systems ◽

10.21307/ijssis-2017-803 ◽

2015 ◽

Vol 8 (2) ◽

pp. 1203-1224 ◽

Author(s):

Yongqing Wang ◽

Yanzhou Zhang

Keyword(s):

Object Recognition ◽

Multiple Object ◽

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Position, rotation, scale, and orientation invariant multiple object recognition from cluttered scenes

10.1117/12.602105 ◽

2005 ◽

Author(s):

Peter Bone ◽

Rupert Young ◽

Christopher Chatwin

Keyword(s):

Object Recognition ◽

Multiple Object

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