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convolutional-neural-networks x

55 search results found

Efficient Ai Backbones ⭐ 3,770

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Darts ⭐ 2,775

Differentiable architecture search for convolutional and recurrent networks

Big_transfer ⭐ 1,421

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Fast Autoaugment ⭐ 1,358

Official Implementation of 'Fast AutoAugment' in PyTorch.

One Pixel Attack Keras ⭐ 1,078

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Addernet ⭐ 857

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

Switchable Normalization ⭐ 771

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Robustness ⭐ 728

Corruption and Perturbation Robustness (ICLR 2019)

Caffenet Benchmark ⭐ 665

Evaluation of the CNN design choices performance on ImageNet-2012.

Pytorch Cnn Finetune ⭐ 580

Fine-tune pretrained Convolutional Neural Networks with PyTorch

Pytorch Randaugment ⭐ 557

Unofficial PyTorch Reimplementation of RandAugment.

Deep Koalarization ⭐ 375

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Espnetv2 ⭐ 375

A light-weight, power efficient, and general purpose convolutional neural network

ImageNet 2015 Object Detection from Video (VID)

Computer Vision ⭐ 354

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Triplet Attention ⭐ 347

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Benchmarking Keras Pytorch ⭐ 342

🔥 Reproducibly benchmarking Keras and PyTorch models

Video_obj ⭐ 316

基于视频的目标检测算法研究

Assembled Cnn ⭐ 311

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Computer Vision Leaderboard ⭐ 233

Comparison of famous convolutional neural network models

ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Bonnetal ⭐ 167

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

Skipnet ⭐ 166

Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)

Selecsls Pytorch ⭐ 165

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

Imagenet ⭐ 162

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Iresnet ⭐ 157

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Convnet Aig ⭐ 147

PyTorch implementation for Convolutional Networks with Adaptive Inference Graphs

Models Comparison.pytorch ⭐ 141

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

Sparsenet ⭐ 127

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

Deeppyramid ⭐ 121

Deep feature pyramids for various computer vision algorithms (DPMs, pyramid R-CNN, etc.)

Pneumonia Detection From Chest X Ray Images With Deep Learning ⭐ 112

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Moganet ⭐ 100

[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network

Imagenet ⭐ 97

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Groupnorm Reproduce ⭐ 94

An official collection of code in different frameworks that reproduces experiments in "Group Normalization"

Snail Pytorch ⭐ 91

Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch

Projectaiai ⭐ 86

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

Simplenet ⭐ 83

This repository contains the architectures, Models, logs, etc pertaining to the SimpleNet Paper (Lets keep it simple: Using simple architectures to outperform deeper architectures )

Curveball ⭐ 79

Second-order optimiser for deep networks

Chainer Pspnet ⭐ 76

PSPNet in Chainer

Unsupervised Learning on Neural Network Outputs

Multi-modal features toolkit in Python

Sota Backbones ⭐ 64

A collection of SOTA Image Classification Models in PyTorch

Soft Threshold Weight Reparameterization for Learnable Sparsity

Convolution Layer Visualization Vgg 16 ⭐ 54

A GUI Tool for visualizing the intermediate layer of VGG-16 CNN trained on Imagenet

Sparse_switchnorm ⭐ 53

Sparse Switchable Normalization with sparse activation function SparestMax

Simplenet_pytorch ⭐ 44

SimpleNetV1 Implementation in Pytorch

Tiny_imagenet ⭐ 44

TensorFlow Deep CNN for Tiny ImageNet Problem

LCNN: Lookup-based Convolutional Neural Network

Accurate Binary Convolution Network ⭐ 42

Binary Convolution Network for faster real-time processing in ASICs

Cnn Rnn Classifier ⭐ 40

A practical example on how to combine both a CNN and a RNN to classify images.

Hardhat Detector ⭐ 40

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Mobilenet_v1_stm32_cmsis_nn ⭐ 40

Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support

Shufflenet Tensorflow ⭐ 40

A ShuffleNet implementation tested on Tiny ImageNet dataset

Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs

Constrained_attention_filter ⭐ 38

(ECCV2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

Bird_species_classification ⭐ 34

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Transferlearningclassification ⭐ 34

Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018.

[AAAI-2020] Official implementations of HCGNets: Gated Convolutional Networks with Hybrid Connectivity for Image Classification

Dlupi Heteroscedastic Dropout ⭐ 29

Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)

Keras Application Zoo ⭐ 28

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Image_classification ⭐ 27

🎯 Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments

Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)

Squeezenet_v1.2 ⭐ 22

Top-1 Acc=61.0% on ImageNet, without any sacrificing compared with SqueezeNet v1.1.

Tiny Imagenet 200 ⭐ 22

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

Adversarial Automixup ⭐ 21

Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)

Distributeddeeplearning ⭐ 20

Tutorials on running distributed deep learning on Batch AI

Static_bfp_cnn ⭐ 20

Static Block Floating Point Quantization for CNN

Gcvit Tf ⭐ 20

Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer

Cnn_vgg19_verilog ⭐ 20

Convolution Neural Network of vgg19 model in verilog

custom implementation alexnet with tensorflow

Super Resolution ⭐ 18

Example of 8x Super Resolution using Up Sampling CNN and VGG 16 Keras/TensorFlow

Autoblur Cnn Features ⭐ 17

Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier with lineal kernel over the following small datasets: Soccer [1], Birds [2], 17flowers [3], ImageNet-6Weapons[4] and ImageNet-7Arthropods[4].

Cifar10 Vgg16 ⭐ 17

CNN to classify the cifar-10 database by using a vgg16 trained on Imagenet as base.

Convrnns ⭐ 16

ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks

Image Clustering ⭐ 14

This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and resnet50 using the weights from ImageNet

Triplet Loss ⭐ 14

Fine tune and train a CNN pre-trained on Imagenet dataset, using Triplet Loss

pytorch implementation of several CNNs for image classification

Imagenet ⭐ 13

ImageNet training code that implements academic defaults

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

Pytorch_cnn_preferred ⭐ 12

Pytorch Peleenet ⭐ 12

Simple Code Implementation of "PeleeNet" architecture in "Pelee Paper" using PyTorch.

[ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN

Deep Transfer Learning For Art Classification Problems ⭐ 11

Code and Manuscript for the ECCV 4th Workshop on Computer Vision for Art Analysis "Deep Transfer Learning for Art Classification Problems" paper.

Face Mask Detection Based Door Lock System ⭐ 11

A real time mask detection system to open and close the door

Cnn_explainer ⭐ 11

Making CNNs interpretable.

Picture Clustering ⭐ 11

Image clustering with unsupervised learning using CNN

Alexnet Tensorflow ⭐ 10

An Implementation of AlexNet Convolutional Neural Network Architecture by Krizhevsky, Sutskever & Hinton using Tensorflow.

Imageretrieval ⭐ 9

Based on Pytorch and Flask, thanks to the image_retrieval_platform

Mobilenetv3 ⭐ 9

An implementation of MobileNetV3 with pyTorch

Acp Automatic Channel Pruning ⭐ 8

[Applied Intelligence 2022] Python code for ACP

Cnn_vgg19_cuda ⭐ 8

Convolutional Neural Network of vgg19 model using Cuda to accelerate

Image Captioning System Deep Learning ⭐ 8

making use of (Language model + Image model) to generate captions on flickr images. CNN + LSTM + Transfer learning

Deeplearning Codelab ⭐ 8

DevFest Nantes 2017, The Deep Learning Codelab Repository. Presented on October the 19th from 4:20pm to 6:20pm.

Big Little Net ⭐ 8

A CNN Architecture that makes use of multi-scale features for Object Recognition.

Densenet Pytorch ⭐ 7

Restore the official code 100% and improve it to make it easier to research and facilitate production.

Efficientnet Elite ⭐ 7

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