PixelTCN
Upsampling layer
An implementation of a custom convolutional neural network layer designed to improve up-sampling operations in deep learning models
Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)
97 stars
6 watching
36 forks
Language: Python
last commit: almost 6 years ago
Linked from 1 awesome list
deep-learningpixeldcnsegmentation
mrgloom/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
| hongyanggao/lgcn | An implementation of learnable graph convolutional networks for efficient graph processing | 46 |
 openai/pixel-cnn | A generative model with tractable likelihood and easy sampling, allowing for efficient data generation. | 1,921 |
 uber-research/upsnet | Develops an instance segmentation and panoptic segmentation model for computer vision tasks. | 649 |
 zsdonghao/text-to-image | A TensorFlow implementation of generating images from text descriptions using a Generative Adversarial Network (GAN) architecture | 599 |
 huicongzhang/stdan | Deblurring algorithm for videos using a neural network | 52 |
 leverxgroup/esrgan | An enhanced deep learning framework for image super-resolution tasks using Generative Adversarial Networks and PyTorch. | 150 |
 hszhao/pspnet | A PyTorch implementation of a deep learning model for semantic image segmentation | 1,593 |
 preritj/segmentation | Deep learning models for semantic segmentation of images | 100 |
 eilene/gwnn | A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods. | 64 |
 hasnainraz/fc-densenet-tensorflow | Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
 nv-tlabs/gscnn | This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks. | 920 |
 theduynguyen/keras-fcn | An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend. | 15 |
 juntang-zhuang/laddernet | A deep learning implementation of a multi-path network architecture for medical image segmentation | 139 |
 matenure/fastgcn | Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency | 519 |
 yunlongdong/fcn-pytorch | A PyTorch implementation of FCN for semantic segmentation with an easy-to-use interface and pre-trained models. | 160 |