vgg16

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

🙄 Difficult algorithm, Simple code.

food image to recipe with deep convolutional neural networks.

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

ImageNet pre-trained models with batch normalization for the Caffe framework

Deep learning codes and projects using Python

Deep learning codes and projects using Python

Holistically-Nested Edge Detection

tensorflow implementation of Grad-CAM (CNN visualization)

Video Classification using 2 stream CNN

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

SFD implement with pytorch

Apparel detection using deep learning

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

Accelerate Neural Net Training by Progressively Freezing Layers

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).

A Single Shot MultiBox Detector in TensorFlow