Image denoising using deep CNN with batch renormalization(Neural Networks,2020)
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Updated
Jan 20, 2023 - Python
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.
Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Sound event detection with depthwise separable and dilated convolutions.
[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation
Classifying audio using Wavelet transform and deep learning
[preprint] AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation
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.
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
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