Results 21 to 30 of about 2,643,411 (303)
Inexpensive fusion methods for enhancing feature detection [PDF]
, 2007 Recent successful approaches to high-level feature detection in image and video data have treated the problem as a pattern classification task. These typically leverage the techniques learned from statistical machine learning, coupled with ensemble ...
O'Connor, Noel E. +8 more
core +2 more sources
Feature Fusion Methods for Multimodal Image Recognition Based on Autonomous Driving [PDF]
ITM Web of ConferencesWith the widespread use of automatic driving technology, multimodal fusion technology has gradually formed three mainstream fusion levels: early stage, middle stage, and late stage.
Jin Jiayan
doaj +1 more source
Fusion of competing features is not serial
Vision Research, 2003 How features of an object are bound into a unique percept is one of the puzzling problems in the cognitive and neuro-sciences. In order to investigate the spatio-temporal mechanisms of feature binding, we serially present two verniers with opposite offset directions for very short durations.
Herzog, Michael H. +3 more
openaire +3 more sources
FAW for Multi-exposure Fusion Features [PDF]
, 2011 This paper introduces a process where fusion features assist matching scale invariant feature transform (SIFT) image features from high contrast scenes. FAW defines the order for extracting features: features, alignment then weighting. The process uses three quality measures to select features from a series of differently exposed images and select a ...
Michael May 0002 +2 more
openaire +3 more sources
Sensors, 2022 In today’s information age, how to accurately identify a person’s identity and protect information security has become a hot topic of people from all walks of life.
Yang Wang, Dekai Shi, Weibin Zhou
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Features Fusion for Classification of Logos
Procedia Computer Science, 2016 In this paper, a logo classification system based on the appearance of logo images is proposed. The proposed classification system makes use of global characteristics of logo images for classification. Color, texture, and shape of a logo wholly describe the global characteristics of logo images.
N. Vinay Kumar +4 more
openaire +2 more sources
The feature fusion module(FFM).
, 2023 The feature fusion module(FFM).
Ting Wang (16292) +7 more
core +1 more source
Research Progress of Multimodal Named Entity Recognition [PDF]
Zhengzhou Daxue xuebao. Gongxue banIn order to solve the problems in studies of multimodal named entity recognition, such as the lack of text feature semantics, the lack of visual feature semantics, and the difficulty of graphic feature fusion, a series of multimodal named entity ...
WANG Hairong +3 more
doaj +1 more source
Medical Image Fusion with Local-Global Feature Coupling and Cross-Scale Attention [PDF]
Jisuanji gongcheng, 2023 To address the insufficient global feature representation in existing deep learning-based multimodal medical image fusion methods, this study proposes a medical image fusion method based on local-global feature coupling and cross-scale attention.The ...
ZHANG Jiong, WANG Lifang, LIN Suzhen, QIN Pinle, MI Jia, LIU Yang
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Multi-View Joint Learning and BEV Feature-Fusion Network for 3D Object Detection
Applied Sciences, 2023 Traditional 3D object detectors use BEV (bird’s eye view) feature maps to generate 3D object proposals, but in a single BEV feature map, there are inevitably the problems of high compression and information loss. To solve this problem, we propose a multi-
Qunming Liu +4 more
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