There are 3 repositories under resnet-50 topic.
Tools to Design or Visualize Architecture of Neural Network
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
StyleGAN Encoder - converts real images to latent space
ImageNet pre-trained models with batch normalization for the Caffe framework
Keras implementation of a ResNet-CAM model
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.
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
Detecting cinema shot types using a ResNet-50
A Multiclass Weed Species Image Dataset for Deep Learning
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
code for ICCV19 paper "Deep Meta Metric Learning"
A one stop shop for all of your activity recognition needs.
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
Exploring the connections between artworks with deep "Visual Analogies"
[official] No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019
Implementation of a Neural Network that can detect whether a video is in-game or not
CP and Tucker decomposition for Convolutional Neural Networks
Deep-learning seismic facies on state-of-the-art CNN architectures
Segmentation for vertebra in MR images
여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)
A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.
Deep neural network trained to detect eye contact from facial image
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification (AAAI2019)
Pytorch model for NSFW classification with usage example
Image classification of wildflowers using deep residual learning and convolutional neural nets
This is an experimental code to train a ResNet-50 made entirely in Tensorflow on Dogs-vs-Cats-Redux
Deep CNN-LSTM for Generating Image Descriptions :smiling_imp:
Deployed bird classification webapp using Deep Learning, Docker, and Streamlit. Users can go onto the webapp and either upload their own images of birds or select from a set of images to feed through a Deep Learning model and display a prediction.
Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
Visualizing where the Convolution Network is looking through CAM.
IntelliP (Intelligent Photos) is a Windows photo gallery that intelligently organizes the pictures in your computer into 12 unique and related categories.
This is my sample kernel for the kaggle competition iMet Collection 2019 - FGVC6 (Recognize artwork attributes from The Metropolitan Museum of Art)