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SqueezeNet
Intelligent Recognition Method of Low-Altitude Squint Optical Ship Target Fused with Simulation Samples
NXP Eiq Machine Learning Software Development Environment For
Fast Inference of Deep Neural Networks in Fpgas for Particle Physics (Arxiv:1804.06913)
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices
An FPGA-Accelerated Embedded Convolutional Neural Network
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components
Firenet Architectures 510X Smaller Models
Serving Deep Learning Models in a Serverless Platform
High Performance Squeezenext for CIFAR-10
Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques and Embedded Platforms—A Comprehensive Review
Real-Time Vehicle Make and Model Recognition with the Residual Squeezenet Architecture
Helping the Visually Impaired See Via Image Multi-Labeling Based on Squeezenet CNN
Deep Convolutional Neural Networks for Tiny Imagenet Classification
Leannet: an Efficient Convolutional Neural Network for Digital Number
The Compact 3D Convolutional Neural Network for Medical Images
Squeeze U-Net: a Memory and Energy Efficient Image Segmentation Network
Designing a Lightweight Convolutional Neural Network for Onion and Weed Classification
Recognition of Speaker's Emotion by Squeezenet
Top View
Performance Comparison of Machine Learning Packages on the Edges
Comparing Different Deep Learning Architectures for Classification Of
Why Is FPGA-GPU Heterogeneity the Best Option for Embedded Deep Neural Networks? Walther Carballo-Hernández, Maxime Pelcat, François Berry
Multi-Style Transfer: Generalizing Fast Style Transfer to Several Genres
Exploring the Design Space of Deep Convolu'onal
Compressing Deep Convolutional Neural Networks in Visual Emotion Recognition A.G
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices
Android Based Application for Rhizome Medicinal Plant Recognition Using Squeezenet
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
Machine Learning and Deep Learning Frameworks and Libraries for Large-Scale Data Mining: a Survey
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
Flexibility: Fpgas and CAD in Deep Learning Acceleration
Squeezenext: Hardware-Aware Neural Network Design
Squeezedet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Deep Transfer Learning for Texture Classification in Colorectal Cancer Histology
Squeezenet: Alexnet-Level Accuracy with 50X Fewer Parameters
Squeezenet: Alexnet-Level Accuracy with 50X Fewer Parameters
Perception Systems for Autonomous Vehicles Using Energy-Efficient Deep Neural Networks