An automatic traffic density estimation using Single Shot Detection (SSD) and MobileNet-SSD - ScienceDirect
SSD MobileNet v1 loss not converging bounding boxes all over the place - Cross Validated
SSD-Mobilenet Implementation for Classifying Fish Species | SpringerLink
SSD model with mobilenet feature extractor is not converging . · Issue #2193 · tensorflow/models · GitHub
Review: SSD — Single Shot Detector (Object Detection) | by Sik-Ho Tsang | Towards Data Science
SSD-Mobilenet Implementation for Classifying Fish Species | SpringerLink
MobileNet-SSD-AF architecture: we use MobileNet as the feature... | Download Scientific Diagram
A Mobile-Based Framework for Detecting Objects Using SSD-MobileNet in Indoor Environment | SpringerLink
An Expression Recognition Method on Robots Based on Mobilenet V2-SSD | Semantic Scholar
Sensors | Free Full-Text | sTetro-Deep Learning Powered Staircase Cleaning and Maintenance Reconfigurable Robot | HTML
Does anyone knows why my distance-learned SSD Mobilenet V2 Quant. model detects closer/bigger object with less percentage than smaller ones or what causes this? If its close it to ~50%, but on
Review: MobileNetV1 — Depthwise Separable Convolution (Light Weight Model) | by Sik-Ho Tsang | Towards Data Science
Google AI Blog: Accelerated Training and Inference with the Tensorflow Object Detection API
MobilenetSSD : A Machine Learning Model for Fast Object Detection | by David Cochard | axinc-ai | Medium
How to run SSD Mobilenet V2 object detection on Jetson Nano at 20+ FPS | DLology
Object Detection using SSD Mobilenet V2 | by Vidish Mehta | Medium
SSD MobileNet functional block diagram. | Download Scientific Diagram
Review: MobileNetV1 — Depthwise Separable Convolution (Light Weight Model) | by Sik-Ho Tsang | Towards Data Science
Mobilenet v1 based modified SSD network architecture | Download Scientific Diagram
