mrgloom / awesome-semantic-segmentationLinks
awesome-semantic-segmentation
☆10,784Updated 4 years ago
Alternatives and similar repositories for awesome-semantic-segmentation
Users that are interested in awesome-semantic-segmentation are comparing it to the libraries listed below
Sorting:
- Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset☆5,059Updated last year
- Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html☆7,510Updated 2 years ago
- Semantic Segmentation Architectures Implemented in PyTorch☆3,420Updated 2 years ago
- Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNe…☆3,036Updated 2 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,116Updated 3 years ago
- The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semant…☆3,304Updated 3 years ago
- DeepLab v3+ model in PyTorch. Support different backbones.☆2,996Updated last year
- Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.☆9,389Updated 2 years ago
- Semantic segmentation models, datasets and losses implemented in PyTorch.☆1,807Updated 9 months ago
- Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.☆3,350Updated 4 years ago
- A faster pytorch implementation of faster r-cnn☆7,852Updated 3 years ago
- PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)☆1,777Updated 2 years ago
- Image augmentation for machine learning experiments.☆14,713Updated last year
- A paper list of object detection using deep learning.☆11,434Updated last year
- PyTorch for Semantic Segmentation☆1,736Updated 6 years ago
- A collection of loss functions for medical image segmentation☆3,984Updated 2 years ago
- ☆2,058Updated 6 years ago
- A curated list of deep learning image classification papers and codes☆3,035Updated 3 years ago
- Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!☆2,525Updated 4 years ago
- Image augmentation library in Python for machine learning.☆5,143Updated last year
- README and scripts for the Cityscapes Dataset☆2,325Updated 3 months ago
- Most popular metrics used to evaluate object detection algorithms.☆5,088Updated 5 months ago
- A simple, fully convolutional model for real-time instance segmentation.☆5,200Updated 3 months ago
- Object detection, 3D detection, and pose estimation using center point detection:☆7,531Updated 2 years ago
- Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.☆11,157Updated last week
- A PyTorch Implementation of Single Shot MultiBox Detector☆5,226Updated 3 years ago
- unet for image segmentation☆4,859Updated last year
- Sandbox for training deep learning networks☆3,019Updated last year
- Segmentation models with pretrained backbones. Keras and TensorFlow Keras.☆4,899Updated last year
- Deformable Convolutional Networks☆4,103Updated 4 years ago