Collar recognition and matching of clothing style drawings based on complex networks
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Collar recognition and matching of clothing style drawings based on complex networks
Authors
Keywords
-
Journal
Journal of Radiation Research and Applied Sciences
Volume -, Issue -, Pages 100687
Publisher
Elsevier BV
Online
2023-09-29
DOI
10.1016/j.jrras.2023.100687
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Clothing recognition based on deep sparse convolutional neural network
- (2022) Jun Xiang et al. International Journal of Clothing Science and Technology
- Outfit compatibility prediction with multi-layered feature fusion network
- (2021) Shufang Lu et al. PATTERN RECOGNITION LETTERS
- Pattern Matching Model for Recognition of Stone Inscription Characters
- (2021) K Durga Devi et al. COMPUTER JOURNAL
- Classification of clothing images based on a parallel convolutional neural network and random vector functional link optimized by the grasshopper optimization algorithm
- (2021) Zhiyu Zhou et al. TEXTILE RESEARCH JOURNAL
- Tiny YOLO Optimization Oriented Bus Passenger Object Detection
- (2020) Shuo Zhang et al. CHINESE JOURNAL OF ELECTRONICS
- Temporal matching prior network for vehicle license plate detection and recognition in videos
- (2020) Seok Bong Yoo et al. ETRI JOURNAL
- A robust similarity based deep siamese convolutional neural network for gait recognition across views
- (2020) Merlin Linda George et al. COMPUTATIONAL INTELLIGENCE
- Human Activities Classification Based on Complex-Value Convolutional Neural Network
- (2020) Xin Yao et al. IEEE SENSORS JOURNAL
- Toner Particles as Forensic Evidence: Microanalytical Characterization of Known Toner and Recognition of Toner in Environmental Samples* , † , ‡
- (2020) Katie M. White et al. JOURNAL OF FORENSIC SCIENCES
- Ensembling complex network ‘perspectives’ for mild cognitive impairment detection with artificial neural networks
- (2020) Eufemia Lella et al. PATTERN RECOGNITION LETTERS
- Community detection in complex network based on APT method
- (2020) Qingfeng Chen et al. PATTERN RECOGNITION LETTERS
- An Automatic Insect Recognition Algorithm in Complex Background Based on Convolution Neural Network
- (2020) Xianrong Zhang et al. Traitement du Signal
- Learning-Based Complex Motion Patterns Recognition for Pedestrian Dead Reckoning
- (2020) Yarong Luo et al. IEEE SENSORS JOURNAL
- Integrated optimization model for distribution network design: a case study of the clothing industry
- (2019) Ming Liu et al. International Transactions in Operational Research
- Gait recognition based on capsule network
- (2019) Zhaopeng Xu et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- Landmark-free clothes recognition with a two-branch feature selective network
- (2019) S. Lee et al. ELECTRONICS LETTERS
- A hybrid deep convolutional and recurrent neural network for complex activity recognition using multimodal sensors
- (2019) Mingqi Lv et al. NEUROCOMPUTING
- Gait metric learning siamese network exploiting dual of spatio-temporal 3D-CNN intra and LSTM based inter gait-cycle-segment features
- (2019) Daksh Thapar et al. PATTERN RECOGNITION LETTERS
- A Varied Channels Region Proposal and Classification Network for Wildlife Image Classification Under Complex Environment
- (2019) Yanhui Guo et al. IET Image Processing
- A commentary on “Learning error-correcting graph matching with a multiclass neural network”, Pattern Recognition Letters, 2018
- (2019) Francesc Serratosa PATTERN RECOGNITION LETTERS
- Task-Aware Attention Model for Clothing Attribute Prediction
- (2019) Sanyi Zhang et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Multimodal clothing recognition for semantic search in unconstrained surveillance imagery
- (2018) Michael A. Halstead et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started