IEEE

Cross-Domain Incremental Image Classification via Domain-Specific Prototypes and Contrastive Learning

Abstract: Remote sensing models in incremental learning (IL) scenarios often need to contend with both the newly emerged classes and cross-domain feature shifts, a combined challenge that we name it ...
IEEE

Domain-Aware Adversarial Domain Augmentation Network for Hyperspectral Image Classification

Abstract: Classifying hyperspectral remote sensing images across different scenes has recently emerged as a significant challenge. When only historical labeled images (source domain, SD) are available ...
Analytics Insight

Best PyTorch Courses to Learn Deep Learning in 2026

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...
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 ...
GitHub

GitHub - yanqianxuan/pytorch-image-classification-basics: Image classification with PyTorch. Fork from hysts/pytorch_image_classification · GitHub

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 ...