27 citations · 59 across the 23 of their papers we have counts for
8 papers · 1 filter
Distribution Estimation to Automate Transformation Policies for Self-Supervision
Seunghan Yang, Debasmit Das, Simyung Chang +2
In recent visual self-supervision works, an imitated classification objective, called pretext task, is established by assigning labels to transformed or augmented input images. The…
Domain Generalization on Efficient Acoustic Scene Classification using Residual Normalization
Byeonggeun Kim, Seunghan Yang, Jangho Kim +1
It is a practical research topic how to deal with multi-device audio inputs by a single acoustic scene classification system with efficient design. In this work, we propose Residua…
Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
John Yang, Yash Bhalgat, Simyung Chang +2
While hand pose estimation is a critical component of most interactive extended reality and gesture recognition systems, contemporary approaches are not optimized for computational…
Self-Evolutionary Optimization for Pareto Front Learning
Simyung Chang, KiYoon Yoo, Jiho Jang +1
Multi-task learning (MTL), which aims to improve performance by learning multiple tasks simultaneously, inherently presents an optimization challenge due to multiple objectives. He…
PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation
Jangho Kim, Simyung Chang, Nojun Kwak
As edge devices become prevalent, deploying Deep Neural Networks (DNN) on edge devices has become a critical issue. However, DNN requires a high computational resource which is rar…
Broadcasted Residual Learning for Efficient Keyword Spotting
Byeonggeun Kim, Simyung Chang, Jinkyu Lee +1
Keyword spotting is an important research field because it plays a key role in device wake-up and user interaction on smart devices. However, it is challenging to minimize errors w…
Prototype-based Personalized Pruning
Jangho Kim, Simyung Chang, Sungrack Yun +1
Nowadays, as edge devices such as smartphones become prevalent, there are increasing demands for personalized services. However, traditional personalization methods are not suitabl…
SubSpectral Normalization for Neural Audio Data Processing
Simyung Chang, Hyoungwoo Park, Janghoon Cho +3
Convolutional Neural Networks are widely used in various machine learning domains. In image processing, the features can be obtained by applying 2D convolution to all spatial dimen…