← Search

Piyapat Saranrittichai

2 accepted papers

2022

Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain

ECCV 2022poster

"Shortcut learning occurs when a deep neural network overly relies on spurious correlations in the training dataset in order to solve downstream tasks. Prior works have shown how this impairs the compositional generalization capability of deep learning models. To address this problem, we propose a n…

2021

DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities

ICCV 2021poster

Common deep neural networks (DNNs) for image classification have been shown to rely on shortcut opportunities (SO) in the form of predictive and easy-to-represent visual factors. This is known as shortcut learning and leads to impaired generalization. In this work, we show that common DNNs also suff…

Cited by 13PDFcodeScholar