131 citations · 136 across the 4 of their papers we have counts for
5 papers
ViT-ReciproCAM: Gradient and Attention-Free Visual Explanations for Vision Transformer
Seok-Yong Byun, Wonju Lee
This paper presents a novel approach to address the challenges of understanding the prediction process and debugging prediction errors in Vision Transformers (ViT), which have demo…
Recipro-CAM: Fast gradient-free visual explanations for convolutional neural networks
Seok-Yong Byun, Wonju Lee
The Convolutional Neural Network (CNN) is a widely used deep learning architecture for computer vision. However, its black box nature makes it difficult to interpret the behavior o…
Unsupervised Model Drift Estimation with Batch Normalization Statistics for Dataset Shift Detection and Model Selection
Wonju Lee, Seok-Yong Byun, Jooeun Kim +2
While many real-world data streams imply that they change frequently in a nonstationary way, most of deep learning methods optimize neural networks on training data, and this leads…
Speech Emotion Recognition Using Multi-hop Attention Mechanism
Seunghyun Yoon, Seokhyun Byun, Subhadeep Dey +1
In this paper, we are interested in exploiting textual and acoustic data of an utterance for the speech emotion classification task. The baseline approach models the information fr…
Multimodal Speech Emotion Recognition Using Audio and Text
Seunghyun Yoon, Seokhyun Byun, Kyomin Jung
Speech emotion recognition is a challenging task, and extensive reliance has been placed on models that use audio features in building well-performing classifiers. In this paper, w…