Deci AI on X: "SSD Lite MobileNetV2 is an object detection model that provides real-time inference under compute constraints in smaller or edge devices like mobile phones. #deeplearning #neuralnetworks #computervision #edge 1/3
An Expression Recognition Method on Robots Based on Mobilenet V2-SSD | Semantic Scholar
SSD 계열의 구조(VGG16/MobileNet) · Seongkyun Han's blog
Real-Time Vehicle Detection with MobileNet SSD and Xailient - Edge AI and Vision Alliance
MobileNet v2 | PyTorch
SSD MobileNetV1 architecture
SSD | PyTorch
Object Detection Using YOLO And Mobilenet SSD Computer Vision -
tensorflow - What does min_depth in ssdlite_mobilenet_v2_coco.config do? - Stack Overflow
tensorflow - SSD Inception v2. Is the VGG16 feature extractor replaced by the Inception v2? - Stack Overflow
Information | Free Full-Text | Interpretation of Bahasa Isyarat Malaysia (BIM) Using SSD-MobileNet-V2 FPNLite and COCO mAP
Building occupancy management solution using the TensorFlow Object Detection API
MobileNetV2: The Next Generation of On-Device Computer Vision Networks – Google Research Blog
SSD-MobileNet V2 - Wolfram Neural Net Repository
Neural architecture of SSD-MobileNet V2. | Download Scientific Diagram
Implementing Single Shot Detector (SSD) in Keras: Part I — Network Structure | by Socret Lee | Jan, 2021 | Towards Data Science | Towards Data Science
Population Statistics Algorithm Based on MobileNet
A MobileNet-SSD Model with FPN for Waste Detection | Journal of Electrical Engineering & Technology
MobileNetV2 SSD FPN - Edge Impulse Documentation
How to install SSD-Mobilenet-v2 model? - Jetson Nano - NVIDIA Developer Forums