506 Open source projects that are alternatives of or similar to SAN

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

DeepLab v3+ model in PyTorch. Support different backbones.

OpenMMLab Image Classification Toolbox and Benchmark

train resnet on imagenet from scratch with caffe

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Computer vision library for wildfire detection

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

Classification with PyTorch.

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

Scripts to work with LMDB + PyTorch for Imagenet training

Caffe Implementation of Google's MobileNets (v1 and v2)

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

Implementation of popular deep learning networks with TensorRT network definition API

Tools for generating mini-ImageNet dataset and processing batches

MobileNetV3 in pytorch and ImageNet pretrained models

PyTorch to Keras model convertor

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

A Caffe Re-Implementation of SENet

High level network definitions with pre-trained weights in TensorFlow

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

PyTorch to Keras model convertor

A collection of deep learning models (PyTorch implemtation)

ImageNet pre-trained models with batch normalization for the Caffe framework

Classification models trained on ImageNet. Keras.

Code and resources on scalable and efficient Graph Neural Networks

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Implementation for <Neural Similarity Learning> in NeurIPS'19.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Code repo for "Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution" (ECCVW AIM2020).

Code for FOCAL Paper Published at ICLR 2021

73.6% GhostNet 1.0x pre-trained model on ImageNet

No description or website provided.

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Deep Atrous Guided Filter for Image Restoration in Under Display Cameras (UDC Challenge, ECCV 2020).

Train faster rcnn on imagine dataset, related blog post: https://andrewliao11.github.io/object/detection/2016/07/23/detection/

Localization Distillation for Dense Object Detection (CVPR 2022)

A list of popular deep learning models related to classification, segmentation and detection problems

Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC

实现遇到的分类网络（持续更新）

Try to implement deeplab v3+ on pytorch according to offical demo.

Learning To Compare For Text , Few shot learning in text classification

Image classification of Fungus using ResNet

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

PyTorch pipeline of MIT Driverless Computer Vision paper(2020)

awesome few shot / meta learning papers

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients