452 Open source projects that are alternatives of or similar to Sota Point Cloud

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

📚 A collection of papers about Referring Image Segmentation.

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Cell Detection with PyTorch.

PyTorch implementation of "Pyramid Scene Parsing Network".

Paper notes in deep learning/machine learning and computer vision

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

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)

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

Cut and paste augmentation for object detection and instance segmentation

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

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

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

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

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

Semantic segmentation models, datasets and losses implemented in PyTorch.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

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

Light-Weight RefineNet for Real-Time Semantic Segmentation

Gluon CV Toolkit

PyTorch Implementations for DeeplabV3 and PSPNet

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

DeepLab resnet v2 model in pytorch

PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

Pytorch for Segmentation

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.)

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

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

UPSNet: A Unified Panoptic Segmentation Network

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

Inference Code for Polygon-RNN++ (CVPR 2018)

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

CRF-RNN Keras/Tensorflow version

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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

Understanding Convolution for Semantic Segmentation

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Real-Time 3D Semantic Reconstruction from 2D data

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

Detectorch - detectron for PyTorch

A semantic segmentation toolbox based on PyTorch

Pixel-wise segmentation on VOC2012 dataset using pytorch.

mmdetection源码注释

A simple, fully convolutional model for real-time instance segmentation.

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.