488 Open source projects that are alternatives of or similar to Deepmask Pytorch

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Codes of paper "Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling", ICRA 2022

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Flood-Filling Networks for instance segmentation in 3d volumes.

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Cut and paste augmentation for object detection and instance segmentation

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

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.

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Unsupervised instance segmentation via active robot interaction

nucleus/cell and histopathology image classification,detection,segmentation

Kaggle Segmentation Challenge

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

An awesome semantic segmentation model that runs in real time

A collection of dataset loaders

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

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

LiTS - Liver Tumor Segmentation Challenge

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

3D Unet for Isointense Infant Brain Image Segmentation

Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

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

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Open solution to the Data Science Bowl 2018

SOLOv2: Dynamic, Faster and Stronger, achives 39.5mAP on coco test-dev (36 epochs result)

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

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

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

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

Deep Learning for Seismic Imaging and Interpretation

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

Grid-GCN for Fast and Scalable Point Cloud Learning

Implementation of active contour loss function

3D Graph Neural Networks for RGBD Semantic Segmentation

PyTorch Implementation of Stacked U-Nets (SUNets)

Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)

My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton

Sparse and structured neural attention mechanisms

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

keras implementation of unet plus plus

Papers and Datasets about Point Cloud.

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

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

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

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

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

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

implement some algorithms of 6d pose estimation

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

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

Lung fields segmentation on CXR images using convolutional neural networks.

SOLO: Segmenting Objects by Locations

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)

Vocal Remover using Deep Neural Networks