Results 11 to 20 of about 569,009 (312)
Distribution Alignment: A Unified Framework for Long-tail Visual Recognition [PDF]
Computer Vision and Pattern Recognition, 2021 Despite the recent success of deep neural networks, it remains challenging to effectively model the long-tail class distribution in visual recognition tasks.
Songyang Zhang +4 more
semanticscholar +1 more source
Accurate Recognition of Motion Patterns Based on Artificial Visual Neural Network
Advances in Multimedia, 2022 In order to improve the accuracy of motion pattern recognition, this paper combines the artificial visual neural network to construct a motion pattern recognition system.
Meiqi Li
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npj Science of Learning, 2022 Greater eyes-focused eye movement pattern during face recognition is associated with better performance in adults but not in children. We test the hypothesis that higher eye movement consistency across trials, instead of a greater eyes-focused pattern ...
Janet H. Hsiao +4 more
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Long-term recurrent convolutional networks for visual recognition and description [PDF]
Computer Vision and Pattern Recognition, 2014 Models based on deep convolutional networks have dominated recent image interpretation tasks; we investigate whether models which are also recurrent, or “temporally deep”, are effective for tasks involving sequences, visual and otherwise.
Jeff Donahue +6 more
semanticscholar +1 more source
Statistical Machine Learning for Human Behaviour Analysis
Entropy, 2020 Human behaviour analysis has introduced several challenges in various fields, such as applied information theory, affective computing, robotics, biometrics and pattern recognition [...]
Thomas B. Moeslund +4 more
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Associations of visual functions with attitudes about motor vehicle dashboards among older drivers
Frontiers in Neuroergonomics, 2022 PurposeProper understanding and interaction with the dashboard is an essential aspect of safely operating a motor vehicle. A portion of this task is dependent on vision, yet no published information exists regarding dashboard ergonomics and visual ...
Thomas A. Swain +5 more
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Contextual Transformer Networks for Visual Recognition [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Transformer with self-attention has led to the revolutionizing of NLP field, and recently inspires the emergence of Transformer-style architecture design with competitive results in numerous CV tasks.
Yehao Li, Ting Yao, Yingwei Pan, Tao Mei
semanticscholar +1 more source
Global precedence in visual pattern recognition [PDF]
Perception & Psychophysics, 1984 This paper describes the results of three experiments on the global precedence effect, using stimuli derived from the receptive field characteristics of neurons in the visual cortex. Thus, the local cue consists of oriented line segments whose sizes correspond to the average size of the central portion of receptive fields in parafoveal representations ...
H C, Hughes +3 more
openaire +2 more sources
Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks [PDF]
Computer Vision and Pattern Recognition, 2023 The exponential growth of large language models (LLMs) has opened up numerous possibilities for multi-modal AGI systems. However, the progress in vision and vision-language foundation models, which are also critical elements of multi-modal AGI, has not ...
Zhe Chen +14 more
semanticscholar +1 more source
Application of an artificial immune system for visual pattern recognition [PDF]
Компьютерная оптика, 2018 The suitability of artificial immune systems for recognizing visual patterns is discussed. A new algorithm and software implementation of an artificial immune system have been proposed based on which real-time pattern recognition can be done using a Web ...
Rostislav Mikherskii
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