Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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Updated
Feb 22, 2024 - Python
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
I transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
ImageNet pre-trained models with batch normalization for the Caffe framework
Holistically-Nested Edge Detection
The purpose of this program is for studying. Using tensorflow trains the vgg16 and recognizes only two kinds of picture(cat and dog).
Video Classification using 2 stream CNN
A Single Shot MultiBox Detector in TensorFlow
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
Apparel detection using deep learning
Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification
Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
SFD implement with pytorch
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
Semantically segment the road in the given image.
Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
Handwritten digit recognition with MNIST & Keras
Accelerate Neural Net Training by Progressively Freezing Layers
Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.
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