Results 21 to 30 of about 1,925,447 (292)
A correspondence-based neural mechanism for position invariant feature processing [PDF]
, 2009 Poster presentation: Introduction We here focus on constructing a hierarchical neural system for position-invariant recognition, which is one of the most fundamental invariant recognition achieved in visual processing [1,2].
Jitsev, Evgueni +3 more
core +1 more source
One-Shot Distributed Generalized Eigenvalue Problem (DGEP): Concept, Algorithm and Experiments
Applied Sciences, 2022 This paper focuses on the design of a distributed algorithm for generalized eigenvalue problems (GEPs) in one-shot communication. Since existing distributed methods for eigenvalue decomposition cannot be applied to GEP, a general one-shot distributed GEP
Kexin Lv +4 more
doaj +1 more source
Mask-Refined R-CNN: A Network for Refining Object Details in Instance Segmentation
Sensors, 2020 With the rapid development of flexible vision sensors and visual sensor networks, computer vision tasks, such as object detection and tracking, are entering a new phase.
Yiqing Zhang, Jun Chu, Lu Leng, Jun Miao
doaj +1 more source
Reinforced Palmprint Reconstruction Attacks in Biometric Systems
Sensors, 2022 Biometric signals can be acquired with different sensors and recognized in secure identity management systems. However, it is vulnerable to various attacks that compromise the security management in many applications, such as industrial IoT.
Yue Sun, Lu Leng, Zhe Jin, Byung-Gyu Kim
doaj +1 more source
, 2009 This book constitutes the refereed proceedings of the 18th Scandinavian Conference on Image Analysis, SCIA 2013, held in Espoo, Finland, in June 2013. The 67 revised full papers presented were carefully reviewed and selected from 132 submissions.
B. Coleman +9 more
core +3 more sources
ISPRS International Journal of Geo-Information, 2018 The extraction of activation vectors (or deep features) from the fully connected layers of a convolutional neural network (CNN) model is widely used for remote sensing image (RSI) representation.
Na Liu +4 more
doaj +1 more source
Two-Level Wavelet-Based Convolutional Neural Network for Image Deblurring
IEEE Access, 2021 Image deblurring aims to restore the latent sharp image from the blurred one. In recent years, some learning-based image deblurring methods have achieved significant advances.
Yeyun Wu, Pan Qian, Xiaofeng Zhang
doaj +1 more source
An Adaptative Reference Vector Based Evolutionary Algorithm for Many-Objective Optimization
IEEE Access, 2019 Recent studies have shown difficulties in balancing convergence and diversity for many-objective optimization problems with various types of Pareto fronts.
Junhua Li, Guoyu Chen, Ming Li, Hao Chen
doaj +1 more source
Improved Deep Multi-Patch Hierarchical Network With Nested Module for Dynamic Scene Deblurring
IEEE Access, 2020 Dynamic scene deblurring is a significant technique in the field of computer vision. The multi-scale strategy has been successfully extended to the deep end-to-end learning-based deblurring task.
Zunjin Zhao +3 more
doaj +1 more source
Compressively Sensed Image Recognition
, 2018 Compressive Sensing (CS) theory asserts that sparse signal reconstruction is possible from a small number of linear measurements. Although CS enables low-cost linear sampling, it requires non-linear and costly reconstruction. Recent literature works show
Aslan, Sinem +4 more
core +1 more source