Results 11 to 20 of about 202,798 (258)
Feature fusion network based on strip pooling [PDF]
Scientific Reports, 2021 AbstractContextual information is a key factor affecting semantic segmentation. Recently, many methods have tried to use the self-attention mechanism to capture more contextual information. However, these methods with self-attention mechanism need a huge computation.
Gaihua Wang, Qianyu Zhai
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Bregman pooling: feature-space local pooling for image classification [PDF]
International Journal of Multimedia Information Retrieval, 2015 In this paper, we propose a novel feature-space local pooling method for the commonly adopted architecture of image classification. While existing methods partition the feature space based on visual appearance to obtain pooling bins, learning more accurate space partitioning that takes semantics into account boosts performance even for a smaller number
Alameen Najjar +2 more
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FEATURE DESCRIPTOR BY CONVOLUTION AND POOLING AUTOENCODERS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Abstract. In this paper we present several descriptors for feature-based matching based on autoencoders, and we evaluate the performance of these descriptors. In a training phase, we learn autoencoders from image patches extracted in local windows surrounding key points determined by the Difference of Gaussian extractor.
L. Chen, F. Rottensteiner, C. Heipke
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Pooled motion features for first-person videos [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 In this paper, we present a new feature representation for first-person videos. In first-person video understanding (e.g., activity recognition), it is very important to capture both entire scene dynamics (i.e., egomotion) and salient local motion observed in videos. We describe a representation framework based on time series pooling, which is designed
Michael S. Ryoo +2 more
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Efficient CNN with uncorrelated Bag of Features pooling
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022 6 pages, 2 ...
Laakom, Firas +4 more
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TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 In this paper we present a deep neural network topology that incorporates a simple to implement transformation invariant pooling operator (TI-POOLING). This operator is able to efficiently handle prior knowledge on nuisance variations in the data, such as rotation or scale changes.
Dmitry Laptev +3 more
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Face image classification by pooling raw features [PDF]
Pattern Recognition, 2016 We propose a very simple, efficient yet surprisingly effective feature extraction method for face recognition (about 20 lines of Matlab codes), which is mainly inspired by spatial pyramid pooling in generic image classification. We show that, coupled with a linear classifier, features formed by simply pooling local patches over a multi-level pyramid ...
Shen, F. +4 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Graph Convolutional Network (GCN) excels at EEG recognition by capturing brain connections, but previous studies neglect the important EEG feature itself.
Deng Pan +6 more
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IEEE Access, 2021 As an important pre-processing step in clinical applications, automatic and accurate 3D cardiovascular image segmentation has attracted more and more attention.
Jingjing Liu +3 more
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Hybrid Feature Selection Framework for Bearing Fault Diagnosis Based on Wrapper-WPT
Machines, 2022 A framework aimed to improve the bearing-fault diagnosis accuracy using a hybrid feature-selection method based on Wrapper-WPT is proposed in this paper.
Andrei S. Maliuk +2 more
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