[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Jiao et al., 2018 - Google Patents

Realization and improvement of object recognition system on raspberry pi 3b+

Jiao et al., 2018

Document ID
5008615860039245902
Author
Jiao Z
Yang Y
Zhu H
Ren F
Publication year
Publication venue
2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)

External Links

Snippet

This paper propose a lightweight convolution neural network based on the depthwise separable convolution and the improved Linear Bottlenecks block. Running time and space complexity of the model are reduced by designing the network structure carefully. The neural …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
CN114298158B (en) Multi-mode pre-training method based on image-text linear combination
Song et al. Mintnet: Building invertible neural networks with masked convolutions
EP3711000B1 (en) Regularized neural network architecture search
US20230401833A1 (en) Method, computer device, and storage medium, for feature fusion model training and sample retrieval
US12112538B2 (en) Systems and methods for improved video understanding
CN111898703B (en) Multi-label video classification method, model training method, device and medium
Wang et al. FaceFormer: Aggregating global and local representation for face hallucination
Lyu et al. A survey of model compression strategies for object detection
Wu et al. An efficient binary convolutional neural network with numerous skip connections for fog computing
Jiao et al. Realization and improvement of object recognition system on raspberry pi 3b+
CN113886615A (en) Hand-drawn image real-time retrieval method based on multi-granularity association learning
US20210286544A1 (en) Economic long short-term memory for recurrent neural networks
US11948090B2 (en) Method and apparatus for video coding
Wang et al. Efficient deep convolutional model compression with an active stepwise pruning approach
CN112036495A (en) Garment image classification method based on web crawler and transfer learning
WO2023185209A1 (en) Model pruning
Ni et al. Enhanced knowledge distillation for face recognition
CN116881416A (en) Instance-level cross-modal retrieval method for relational reasoning and cross-modal independent matching network
CN109558819A (en) A kind of depth network light weight method for Remote Sensing Target detection
Feng et al. Compression for text detection and recognition based on low bit-width quantization
Wei et al. Graph convolutional neural network with inter-layer cascade based on attention mechanism
Jeziorek et al. Optimising graph representation for hardware implementation of graph convolutional networks for event-based vision
CN113920291A (en) Error correction method and device based on picture recognition result, electronic equipment and medium
CN111882061B (en) Convolutional neural network training method based on hierarchical random gradient descent
CN118246493B (en) Model processing method, apparatus, computer device, storage medium, and program product