pytorch-deeplab-xception

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

High level network definitions with pre-trained weights in TensorFlow

A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"

A Keras implementation of MobileNetV2.

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

适用于移动端的人脸识别模型，计算量与mobilefacenet相同，但megaface上提升了2%+

The baseline project for inferencing various Pose Estimation tflite models with TFLiteSwift on iOS

Object localization in images using simple CNNs and Keras

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.