The World’s Weirdest Coding Contest Honors the Most Unreadable Programs

Last week, we covered an assembly program that managed to generate both visuals and music within only 16 bytes of code, and ...
GitHub

TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement

@InProceedings{Saijo2024_TFLoco, author = {Saijo, Kohei and Wichern, Gordon and Germain, Fran\c{c}ois G. and Pan, Zexu and {Le Roux}, Jonathan}, title = {TF-Locoformer: Transformer with Local Modeling ...
IEEE

Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection

Abstract: Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standard pedestrians, the performance on ...
GitHub

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification

If you find FDSSC useful in your research, please consider citing. We use Tensorflow-gpu as our computing backend, and you can also use theano as computing backend ...
acm.org

ImageNet Classification with Deep Convolutional Neural Networks

Five ILSVRC-2010 test images in the first column. Remaining columns show the training images that produce feature vectors in the last hidden layer with the smallest Euclidean distance from the feature ...
syncedreview

A Guide to Receptive Field Arithmetic for Convolutional Neural Networks

The receptive field is defined as the region in the input space that a particular CNN’s feature is looking at (i.e. be affected by). For convolutional neural network, the number of output features in ...