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Efficient Segmentation Pyramid Network
2020Extensive growth in the field of robotics and autonomous industries, the demand for efficient image segmentation is increasing rapidly. Whilst existing methods have been shown to achieve outstanding results on challenging data sets, they cannot scale the model properly for real-world computational constraints applications due to a fixed large backbone ...
Tanmay Singha +3 more
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Ethnicities, 2004
This article explores the linguistic practices of lesbian and gay social movement networks in Canada. It specifically focuses on Egale, the main advocacy group for lesbian and gay rights issues, describing its linguistic practices with regard to public presentation, recruitment and participation, as well as its relationships to other lesbian and gay ...
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This article explores the linguistic practices of lesbian and gay social movement networks in Canada. It specifically focuses on Egale, the main advocacy group for lesbian and gay rights issues, describing its linguistic practices with regard to public presentation, recruitment and participation, as well as its relationships to other lesbian and gay ...
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BSOM network for pupil segmentation
The 2011 International Joint Conference on Neural Networks, 2011Segmentation is a preliminary step in many computer vision systems. In most of pupil segmentation algorithms it is assumed that the pupil has a predefined shape, usually circular. This parametrization might lead to errors when the eye image is distorted or deformed and when the pupil is partially occluded by eyelids or eyelashes.
Gabriel S. Vasconcelos +3 more
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An Efficient Network for Lane Segmentation
2019As the basis of scenes understanding for autonomous driving, lane segmentation is always a challenge due to the various illumination conditions, heavy traffics and richly-textured roads. Because of the heavily biased distribution of lane/non-lane pixels, it is hard to achieve satisfying results by using image segmentation networks such as fully ...
Haoran Li 0010 +3 more
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Segment procedure neural networks
2005 IEEE International Conference on Granular Computing, 2005This paper deals with segment procedure neural networks and its learning algorithm. A novel procedure neural network is proposed based on procedure neurons. It aims at simulating the procedure of segment object programming and estimate system. Function approximation ability is discussed for segment procedure neural networks.
Jiuzhen Liang, Xiaohong Wu
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Attention-based Instance Segmentation Network for Cell Segmentation
2020 the 3rd International Conference on Control and Computer Vision, 2020Segmentation of cell images has been widely explored in medical image analysis and clinical aided diagnoses. Instance segmentation technology, which can detect and distinguish each cell object has been a hot topic in recent years. However, the complex background interference and densely distribution in cell images always make the instance segmentation ...
Gaojun Dong, Lele Xu, Zhongsong Ma
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Image Segmentation by Networks of Spiking Neurons
Neural Computation, 2005A network of leaky integrate-and-fire (IAF) neurons is proposed to segment gray-scale images. The network architecture with local competition between neurons that encode segment assignments of image blocks is motivated by a histogram clustering approach to image segmentation. Lateral excitatory connections between neighboring image sites yield a local
Buhmann JM, Lange T, Ramacher U
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A graph network for image segmentation
1997Image segmentation as one of the oldest problems in image processing and computer vision is, despite of various attempts to solve it [1], not yet solved satisfactorily. Having in mind the huge capability of the human visual system, highly parallel and pipelined computation seems to be necessary for success in this field.
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Disassembling Convolutional Segmentation Network
International Journal of Computer Vision, 2023Kaiwen Hu +6 more
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Conditional market segmentation by neural networks
Proceedings of the Thirtieth Hawaii International Conference on System Sciences, 2002An artificial neural network (ANN) algorithm is proposed that incorporates both cluster and discriminant (or regression) analysis of the segments. The method simultaneously estimates the models relating consumer characteristics to market segments, i.e., subjects are assigned to (unique) segments so that subjects within a class show similar purchase ...
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