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.

GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks

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

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

Sound event detection with depthwise separable and dilated convolutions.

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

Classifying audio using Wavelet transform and deep learning

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

An implementation of dilated convolutional layer based on Darknet Architecture

Succeeded by SyntaxDot: https://github.com/tensordot/syntaxdot

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

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

An implementation of DetNet with Keras.

Chapter 6: Convolutional Neural Networks

comprehensive collection of powerful techniques for time series data visualization, analysis and modeling

PyTorch implementation of Dilated Residual Networks for semantic image segmentation

Hybrid Data Augmentation and Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition

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

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