Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

[Remote Sensing] AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation

Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)

Sound event detection with depthwise separable and dilated convolutions.

Classifying audio using Wavelet transform and deep learning

[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation

Classify bird species based on their songs using SIamese Networks and 1D dilated convolutions.

A Numpy implementation of the dilated/atrous CNNs proposed by Yu et al. as well as transposed convolutions.

This repository contains a PyTorch implementation of the ERSVR (Enhanced Real-time Video Super Resolution) network using recurrent multi-branch dilated convolutions

An implementation of DetNet with Keras.

Official PyTorch implementation of the IEEE TETCI 2024 paper LoCATe-GAT

PyTorch implementation of Dilated Residual Networks for semantic image segmentation

Dilation Rate Gridding Problem and How to Solve It With the Fibonacci Sequence.

Time Series Forecasting Best Practices & Examples

Neural Network for Low Complexity Acoustic Scene Classification

Dilated Convolutional Autoencoder for univariate Time Series