There are 2 repositories under vgg16 topic.
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
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.
Apparel detection using deep learning
Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
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).
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
A Single Shot MultiBox Detector in TensorFlow
ResNet-20/32/44/56/110 on CIFAR-10 with Caffe
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
各种深度学习结构、模型和技巧的集合
Kaggle Data Science Bowl 2018
Semantically segment the road in the given image.
Detecting near-duplicate videos by aggregating features from intermediate CNN layers
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
Deep-learning seismic facies on state-of-the-art CNN architectures
Handwritten digit recognition with MNIST & Keras
Furniture Object Detector & Recommender using Detectron2 & VGG16 (IKEA Furniture Recommender)
Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Example of Deconvnet in PyTorch for VGG16
Tensorflow 2 single shot multibox detector (SSD) implementation from scratch with MobileNetV2 and VGG16 backbones
A Siamese similarity model for image similarity