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

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

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)

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

Understanding Convolution for Semantic Segmentation

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

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

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.

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

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

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Switchable Normalization for semantic image segmentation and scene parsing.

AttaNet for real-time semantic segmentation.

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

Semantic segmentation on iPhone using ESPNetv2

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

DeepLab-LargeFOV implemented in tensorflow

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Be Driven 🚘

Various CNN models for CIFAR10 with Chainer

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

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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'

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

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

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

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

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

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

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

DeepLab-ResNet rebuilt in TensorFlow

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

A curated list of awesome data labeling tools

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Implementation of SSD (Single Shot MultiBox Detector) using Chainer

Pytorch implementation of GCN architecture for semantic segmentation

A small and pure Numpy Convolutional Neural Network library.

🤘 awesome-semantic-segmentation

A tensorflow implementation for EEGLearn

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

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

The Official Deep Learning Framework for Route-based Place Recognition

Deep Label Distribution Learning with Label Ambiguity

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Robust freeform surface modeling from user 2d sketches.

Turn Your Videos/photos/Gif into Art

PyTorch implementation of PSPNet

Binary Convolution Network for faster real-time processing in ASICs