469 Open source projects that are alternatives of or similar to Panoptic Deeplab

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

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

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

Pytorch code for semantic segmentation using ERFNet

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

PSPNet in Chainer

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

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

Cell Detection with PyTorch.

AttaNet for real-time semantic segmentation.

Understanding Convolution for Semantic Segmentation

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

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.)

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

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

Paper notes in deep learning/machine learning and computer vision

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

Cut and paste augmentation for object detection and instance segmentation

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

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

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

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

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

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

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

📚 A collection of papers about Referring Image Segmentation.

PyTorch implementation of "Pyramid Scene Parsing Network".

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

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

Fully Convolutional HarDNet for Segmentation in Pytorch

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

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

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

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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

Implementation details for EDANet

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

Official PyTorch implementation of SegFormer

SOTA Semantic Segmentation Models in PyTorch

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

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

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

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

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

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

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

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

A Simple and Versatile Framework for Object Detection and Instance Recognition

An out-of-box human parsing representation extractor.

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.