1047 Open source projects that are alternatives of or similar to Chainer Pspnet

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

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

This repository contains the source code of our work on designing efficient CNNs for computer vision

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Sandbox for training deep learning networks

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

DeepLab-ResNet rebuilt in Pytorch

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

BCDU-Net : Medical Image Segmentation

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

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

Semantic segmentation on iPhone using ESPNetv2

Pytorch code for semantic segmentation using ERFNet

Code for https://arxiv.org/abs/1611.10080

DeepLabv3 built in TensorFlow

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Understanding Convolution for Semantic Segmentation

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

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

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

Easily train or fine-tune SOTA computer vision models with one open source training library

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Segmentation models with pretrained backbones. PyTorch.

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

A curated list of resources focused on Machine Learning in Geospatial Data Science.

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Unofficial PyTorch Reimplementation of RandAugment.

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

SegNet implementation & experiments in Chainer

Switchable Normalization for semantic image segmentation and scene parsing.

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

Corruption and Perturbation Robustness (ICLR 2019)

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Powerful and efficient Computer Vision Annotation Tool (CVAT)

DeepLab resnet v2 model in pytorch

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

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

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

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

AttaNet for real-time semantic segmentation.

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

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.