FRD-CNN: Object detection based on small-scale convolutional neural networks and feature reuse | Scientific Reports
Real-Time Vehicle Detection- MobileNet SSD and Xailient
Omni-benchmarking Object Detection | by Dr Anton Lokhmotov | Towards Data Science
Neural architecture of SSD-MobileNet V2. | Download Scientific Diagram
Object Detection Using YOLO And Mobilenet SSD Computer Vision -
Object Detection with SSD and MobileNet | by Aditya Kunar | Medium
State of Deep Learning for Object Detection - You Should Consider CenterNets! | Victor Dibia
SSD MobileNet functional block diagram. | Download Scientific Diagram
MobileNetV2: The Next Generation of On-Device Computer Vision Networks – Google AI Blog
Remote Sensing | Free Full-Text | Efficient Object Detection Framework and Hardware Architecture for Remote Sensing Images
SSD | PyTorch
Object Detection with MobileNet-SSD slower than mentioned speed - Jetson Nano - NVIDIA Developer Forums
Object detection in real time based on improved single shot multi-box detector algorithm | EURASIP Journal on Wireless Communications and Networking | Full Text
Optimized MobileNet + SSD: a real-time pedestrian detection on a low-end edge device | SpringerLink
Achieving Optimal Speed and Accuracy in Object Detection (YOLOv4) - PyImageSearch
tensorflow - SSD-mobilenet object detection algorithm not converging - Stack Overflow
Review: SSD — Single Shot Detector (Object Detection) | by Sik-Ho Tsang | Towards Data Science
Mobilenet-SSDv2: An Improved Object Detection Model for Embedded Systems | Semantic Scholar
a) represents the detection results of the improved network on... | Download Scientific Diagram
The structure of the improved MobileNet-SSD | Download Scientific Diagram
Sensors | Free Full-Text | Detection of Lower Body for AGV Based on SSD Algorithm with ResNet
Applied Sciences | Free Full-Text | Lightweight Deep Learning for Road Environment Recognition
YOLOv4: Optimal Speed and Accuracy of Object Detection – arXiv Vanity
Object Detection with SSD and MobileNet | by Aditya Kunar | Medium
GitHub - PINTO0309/MobileNet-SSD-RealSense: [High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + ...
