485 Open source projects that are alternatives of or similar to Squeeze_and_excitation

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

U-Time: A Fully Convolutional Network for Time Series Segmentation

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Tensorflow implementation : U-net and FCN with global convolution

Convolutional (Patch) Networks for Semantic Segmentation

LiTS - Liver Tumor Segmentation Challenge

keras implementation of unet plus plus

PyTorch Implementation of Stacked U-Nets (SUNets)

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Repository has been moved: https://github.com/adobe/antialiased-cnns

Implementation of active contour loss function

Vocal Remover using Deep Neural Networks

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

Grid-GCN for Fast and Scalable Point Cloud Learning

A Keras port of Single Shot MultiBox Detector

📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

nucleus/cell and histopathology image classification,detection,segmentation

hair segmentation in mobile device

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge

Lung fields segmentation on CXR images using convolutional neural networks.

An awesome semantic segmentation model that runs in real time

A Single Shot MultiBox Detector in TensorFlow

Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net

Naszilla is a Python library for neural architecture search (NAS)

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

3D Unet for Isointense Infant Brain Image Segmentation

3D Graph Neural Networks for RGBD Semantic Segmentation

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Sandbox for training deep learning networks

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

liver segmentation using deep learning

Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"

Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation"

任何 JS 环境可用的中文分词包，fork from leizongmin/node-segment

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

Open solution to the Data Science Bowl 2018

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Differentiable Mask-Matching Network for Video Object Segmentation (ICCV 2019)

High-quality Neural Networks for Computer Vision 😎

Papers and Datasets about Point Cloud.

deep learning for image processing including classification and object-detection etc.

Kaggle Segmentation Challenge

Morfessor is a tool for unsupervised and semi-supervised morphological segmentation

Segmentation realize Deeperlab only segmentation part

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

A concise code for training and evaluating Unet using tensorflow+keras

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919