4 papers
CORE: Robust Out-of-Distribution Detection via Confidence and Orthogonal Residual Scoring
Jin Mo Yang, Hyung-Sin Kim, Saewoong Bahk
Out-of-distribution (OOD) detection is essential for deploying deep learning models reliably, yet no single method performs consistently across architectures and datasets -- a scor…
Tracking the Discriminative Axis: Dual Prototypes for Test-Time OOD Detection Under Covariate Shift
Wooseok Lee, Jin Mo Yang, Saewoong Bahk +1
For reliable deployment of deep-learning systems, out-of-distribution (OOD) detection is indispensable. In the real world, where test-time inputs often arrive as streaming mixtures…
WaveComm: Lightweight Communication for Collaborative Perception via Wavelet Feature Distillation
Erdemt Bao, Jin Yang
In multi-agent collaborative sensing systems, substantial communication overhead from information exchange significantly limits scalability and real-time performance, especially in…
ALERT Open Dataset and Input-Size-Agnostic Vision Transformer for Driver Activity Recognition using IR-UWB
Jeongjun Park, Sunwook Hwang, Hyeonho Noh +3
Distracted driving contributes to fatal crashes worldwide. To address this, researchers are using driver activity recognition (DAR) with impulse radio ultra-wideband (IR-UWB) radar…