resnets

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Code for DCASE 2020 task 1a and task 1b.

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Replace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO

practice on CIFAR10 with PyTorch

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)

Single-sequence and Profile-based Prediction of RNA Solvent Accessibility Using Dilated Convolution Neural Network

train resnet(152/101/50 layers) for iNaturalist Challenge at FGVC 2018 with tensorpack

The experiment of project

👣 “恒锐杯”鞋印花纹图像类别判定挑战赛

A computer vision web-app that uses deep learning and Residual Neural Networks to identify your Pokémon and then tells you all about it.

This is an AI-powered advertisement platform that performs Face Detection using Haar Cascade Frontal Face and Wide ResNet to detect your age and gender via an external camera and then show you video advertisements related to the products that suit your corresponding age and gender in real-time.

Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.

Yolov3 with multi backbone

Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"

The aim is to build a Deep Convolutional Network using Residual Networks (ResNet). Here we build ResNet 50 using Keras.

Robustness of Deep Neural Networks using Trainable Activation Functions