Object detection in real time based on improved single shot multi-box detector algorithm | EURASIP Journal on Wireless Communications and Networking | Full Text
a) represents the accuracy of VGG16-SSD, our method, MobileNet-SSD and... | Download Scientific Diagram
Applied Sciences | Free Full-Text | Research on a Surface Defect Detection Algorithm Based on MobileNet-SSD
The MobileNet-SSD object detection model. Network objective loss... | Download Scientific Diagram
Object Detection Using YOLO And Mobilenet SSD Computer Vision -
Small object detection method with shallow feature fusion network for chip surface defect detection | Scientific Reports
Real-Time Vehicle Detection- MobileNet SSD and Xailient
Sensors | Free Full-Text | Detection of Lower Body for AGV Based on SSD Algorithm with ResNet
a) represents the detection results of the improved network on... | Download Scientific Diagram
Real-Time Vehicle Detection- MobileNet SSD and Xailient
Single stage architecture for improved accuracy real-time object detection on mobile devices - ScienceDirect
tensorflow - SSD-mobilenet object detection algorithm not converging - Stack Overflow
Object Detection using SSD Mobilenet V2 | by Vidish Mehta | Medium
Applied Sciences | Free Full-Text | Lightweight Deep Learning for Road Environment Recognition
Mobilenet-SSDv2: An Improved Object Detection Model for Embedded Systems | Semantic Scholar
The structure of the improved MobileNet-SSD | Download Scientific Diagram
MobileNetV2: The Next Generation of On-Device Computer Vision Networks – Google AI Blog
State of Deep Learning for Object Detection - You Should Consider CenterNets! | Victor Dibia
A MobileNet-SSD Model with FPN for Waste Detection | SpringerLink
MobileNetV2: The Next Generation of On-Device Computer Vision Networks – Google AI Blog
Object detection: speed and accuracy comparison (Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3) | by Jonathan Hui | Medium
Training a TensorFlow MobileNet Object Detection Model with a Custom Dataset
MobileNetV2 SSD FPN - Edge Impulse Documentation
