GitHub

char_rnn_classification_tutorial.py

This tutorials is part of a three-part series: * `NLP From Scratch: Classifying Names with a Character-Level RNN <https://pytorch.org/tutorials/intermediate/char_rnn ...
IEEE

Multi-Expert Genetic Programming based Ensemble for Long-Tailed Image Classification

Abstract: Long-tailed image classification faces challenges of data imbalance and poor feature representation for tail classes, leading to biased predictions favoring head classes. While most existing ...
GitHub

yanqianxuan/pytorch-image-classification-basics

Following papers are implemented using PyTorch. ResNeXt-29 8x64d 3.97 (1 run) 3.65 (average of 10 runs) 42h50m* ResNeXt-29 16x64d 3.58 (average of 10 runs) shake-shake-26 2x32d (S-S-I) 3.68 3.55 ...
IEEE

A Two-Stage Feature Selection Method for Hyperspectral Image Classification: Hybrid Filter Preprocessing and Improved Dwarf Mongoose Optimization

Abstract: Hyperspectral image classification is the foundation of numerous hyperspectral image applications, but its inherent data characteristics such as high-dimensional feature space and ...