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Convolutional Networks Based Edge Detector Learned via ...
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由 H Dou 著作2015被引用 2 次 — In this paper, convolutional networks (ConvNets) are trained to detect edges by learning a group of filters and classifiers simultaneously. In ...
Convolutional Networks Based Edge Detector Learned via ...
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ConvNets-CSF model is more robust to contrast variation and more biologically plausible than classical algorithms, and achieves comparable performance as ...
Convolutional Networks Based Edge Detector Learned via ...
springerprofessional.de
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In this paper, convolutional networks (ConvNets) are trained to detect edges by learning a group of filters and classifiers simultaneously. In addition, the ...
Contrast sensitivity function in deep networks
ScienceDirect.com
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由 A Akbarinia 著作2023被引用 11 次 — The contrast sensitivity function (CSF) is a fundamental signature of the visual system that has been measured extensively in several species.
A review of visualisation-as-explanation techniques for ...
ScienceDirect.com
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ScienceDirect.com
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由 E Mohamed 著作2022被引用 50 次 — In this review, we present state-of-the-art explanation techniques in detail. We focus our presentation and critical discussion on visualisation methods.
Enhancing Convolutional Neural Network Robustness ...
ResearchGate
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6 日前 — In this paper, we propose a mechanism of orientation detection system based on edge-orientation selective neurons. We assume that there are ...
Institutional Repository of Peking University: Search
北京大学
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北京大学
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Convolutional Networks Based Edge Detector Learned via Contrast Sensitivity Function. 会议论文. Dou, Haobin; Liu, Wentao; Zhang ...
Contrast sensitivity functions in autoencoders - PMC
National Institutes of Health (NIH) (.gov)
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National Institutes of Health (NIH) (.gov)
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由 Q Li 著作2022被引用 22 次 — We show that a very popular type of convolutional neural networks (CNNs), called autoencoders, may develop human-like CSFs in the spatiotemporal and chromatic ...
Contrast Sensitivity Function in Deep Networks
bioRxiv
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2023年4月26日 — Here, we investigated the CSF in deep neural networks using the same 2AFC contrast detection paradigm as in human psychophysics. We examined 240 ...
R-FCN: Object Detection via Region-based Fully ...
NIPS papers
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NIPS papers
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由 J Dai 著作2016被引用 7953 次 — We present region-based, fully convolutional networks for accurate and efficient object detection. In contrast to previous region-based detectors such as ...
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