目标检测-SqueezeDet-论文笔记| arleyzhang
Comparison in terms of inference time: Tiny-YOLO versus SSD-MobileNetV2... | Download Scientific Diagram
![PDF] A Comparison of Embedded Deep Learning Methods for Person Detection | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/78d3eec1e6bf55516facaf59af4ba8e0313ff7e6/5-Table2-1.png "PDF] A Comparison of Embedded Deep Learning Methods for Person Detection | Semantic Scholar")
PDF] A Comparison of Embedded Deep Learning Methods for Person Detection | Semantic Scholar
![PDF] SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/804aedfa1d732617cf5b9f59726b7f2e28fbbfb0/8-Table3-1.png "PDF] SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving | Semantic Scholar")
PDF] SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving | Semantic Scholar
arXiv:1812.03451v2 [cs.CV] 8 Jan 2019
目标检测--SqueezeDet 用于自动驾驶的实时目标检测网络- CodeAntenna
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection | DeepAI
Development of Fast Refinement Detectors on AI Edge Platforms
SqueezeDet detection pipeline. A convolutional neural network extracts... | Download Scientific Diagram
Comparing SqueezeDet and other models in terms of Energy efficiency and... | Download Scientific Diagram
One-stage object detection
Table 2 from SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving | Semantic Scholar
Sensors | Free Full-Text | FGSC: Fuzzy Guided Scale Choice SSD Model for Edge AI Design on Real-Time Vehicle Detection and Class Counting | HTML
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![PDF] SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/804aedfa1d732617cf5b9f59726b7f2e28fbbfb0/11-Table2-1.png "PDF] SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving | Semantic Scholar")
PDF] SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving | Semantic Scholar
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection · Issue #653 · Swall0w/papers · GitHub
Mask-guided SSD for small-object detection | SpringerLink
Comparing SqueezeDet and other models in terms of Energy efficiency and... | Download Scientific Diagram
