3 citations · 8 across the 7 of their papers we have counts for
4 papers · 1 filter
Boosting Video Object Segmentation based on Scale Inconsistency
Hengyi Wang, Changjae Oh
We present a refinement framework to boost the performance of pre-trained semi-supervised video object segmentation (VOS) models. Our work is based on scale inconsistency, which is…
Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection
Meng Xing, Zhiyong Feng, Yong Su +1
Out-of-distribution (OOD) detection is essential to handle the distribution shifts between training and test scenarios. For a new in-distribution (ID) dataset, existing methods req…
Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillings
Hengyi Wang, Chaoran Zhu, Ziyin Ma +1
We present methods to estimate the physical properties of household containers and their fillings manipulated by humans. We use a lightweight, pre-trained convolutional neural netw…
A Wavelet-based Dual-stream Network for Underwater Image Enhancement
Ziyin Ma, Changjae Oh
We present a wavelet-based dual-stream network that addresses color cast and blurry details in underwater images. We handle these artifacts separately by decomposing an input image…