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)

GitHub

97 stars
6 watching
36 forks
Language: Python
last commit: about 6 years ago
Linked from 1 awesome list

deep-learningpixeldcnsegmentation

Backlinks from these awesome lists:

Related 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. 648
zsdonghao/text-to-image A TensorFlow implementation of generating images from text descriptions using a Generative Adversarial Network (GAN) architecture 602
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. 151
hszhao/pspnet A PyTorch implementation of a deep learning model for semantic image segmentation 1,598
preritj/segmentation Deep learning models for semantic segmentation of images 101
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 140
matenure/fastgcn Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency 520
yunlongdong/fcn-pytorch A PyTorch implementation of FCN for semantic segmentation with an easy-to-use interface and pre-trained models. 161