Results 231 to 240 of about 946,604 (274)

Feature pooling for small visual dictionaries

SPIE Proceedings, 2016
Large visual dictionaries are often used to achieve good image classification performance in bag-of-features (BoF) model, while they lead to high computational cost on dictionary learning and feature coding. In contrast, using small dictionaries can largely reduce the computational cost but result in poor classification performance.
Xianglin Huang, Ye Xu, Lifang Yang, Jianglong Zhang   +3 more
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Global Feature Guided Local Pooling

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
In deep convolutional neural networks (CNNs), local pooling operation is a key building block to effectively downsize feature maps for reducing computation cost as well as increasing robustness against input variation. There are several types of pooling operation, such as average/max-pooling, from which one has to be manually selected for building CNNs.
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Spatial Pooling of Heterogeneous Features for Image Classification

IEEE Transactions on Image Processing, 2014
In image classification tasks, one of the most successful algorithms is the bag-of-features (BoFs) model. Although the BoF model has many advantages, such as simplicity, generality, and scalability, it still suffers from several drawbacks, including the limited semantic description of local descriptors, lack of robust structures upon single visual ...
Lingxi, Xie, Qi, Tian, Meng, Wang, Bo, Zhang   +3 more
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Street View Image Retrieval with Average Pooling Features

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Street view image retrieval is a challenging subject due to the complexity of the street view. Such images contain a large number of similarly structured buildings and are obscured by other objects such as pedestrians and vehicles. In this paper, we present a street view image retrieval system based on average pooling features and SIFT (Scale-invariant
Tianyou Chu, Yumin Chen, Liheng Huang, Huangyuan Tan, Jiping Cao, Zhiqiang Xu   +5 more
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Deep regional feature pooling for video matching

2017 IEEE International Conference on Image Processing (ICIP), 2017
In this work, we study the problem of deep global descriptors for video matching with regional feature pooling. We aim to analyze the joint effect of ROI (Region of Interest) size and pooling moment on video matching performance. To this end, we propose to mathematically model the distribution of video matching function with a pooling function nested ...
Yan Bai, Jie Lin, Vijay Chandrasekhar, Yihang Lou, Shiqi Wang, Ling-Yu Duan, Tiejun Huang, Alex Kot   +7 more
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Human action recognition from simple feature pooling

Pattern Analysis and Applications, 2012
Human action recognition (HAR) from images is an important and challenging task for many current applications. In this context, designing discriminative action descriptors from simple features is a relevant task. In this paper we show that very good descriptors can be build from simple filter outputs when multilevel architectures and non-linear ...
Manuel J. Marín-Jiménez, Nicolás Pérez de la Blanca, M. Ángeles Mendoza   +2 more
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Task-Driven Feature Pooling for Image Classification

2015 IEEE International Conference on Computer Vision (ICCV), 2015
Feature pooling is an important strategy to achieve high performance in image classification. However, most pooling methods are unsupervised and heuristic. In this paper, we propose a novel task-driven pooling (TDP) model to directly learn the pooled representation from data in a discriminative manner.
Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu   +4 more
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Splenic Red Cell Pooling: A Diagnostic Feature in Polycythaemia

British Journal of Haematology, 1978
Summary. Total red cell volumes and splenic red cell pools were measured in 31 patients with polycythaemia. 22 had polycythaemia vera (PV), 12 of whom had clinically detectable splenomegaly, and nine patients had secondary polycythaemia (PS). The mean red cell pool was 192.8ml (SD 126.6) in PV (all cases), and 130.9 ml (SD 28.4ml) in PV without ...
S, Bateman, S M, Lewis, A, Nicholas, A, Zaafran   +3 more
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Entropy Based Feature Pooling in Speech Command Classification

2021
In this research a novel deep learning architecture is proposed for the problem of speech commands recognition. The problem is examined in the context of internet-of-things where most devices have limited resources in terms of computation and memory.
Christoforos Nalmpantis, Lazaros Vrysis, Danai Vlachava, Lefteris Papageorgiou, Dimitris Vrakas   +4 more
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Feature Description Based on LBP and Order Pooling

2013 International Conference on Virtual Reality and Visualization, 2013
A novel local image descriptor named OCLBP(Order based Complete Local Binary Patterns) is proposed in this paper. It firstly extracts CLBP(Complete Local Binary Patterns) features pixel-by-pixel in the local image patch, and then pooled the CLBP features based on order relations of the pixel brightness in the patch.
Lingda Wu, Wei Huang, Yingmei Wei
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