8 citations · 8 across the 1 of their papers we have counts for
4 papers · 1 filter
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
Jaemin Na, Heechul Jung, Hyung Jin Chang +1
Unsupervised domain adaptation (UDA) methods for learning domain invariant representations have achieved remarkable progress. However, most of the studies were based on direct adap…
Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network
Wonchul Son, Youngbin Kim, Wonseok Song +2
There is a need for an on-the-fly computational process with very low performance system such as system-on-chip (SoC) and embedded device etc. This paper presents pacemaker knowled…
Residual Convolutional Neural Network Revisited with Active Weighted Mapping
Jung HyoungHo, Lee Ryong, Lee Sanghwan +1
In visual recognition, the key to the performance improvement of ResNet is the success in establishing the stack of deep sequential convolutional layers using identical mapping by…
Sequential Image-based Attention Network for Inferring Force Estimation without Haptic Sensor
Hochul Shin, Hyeon Cho, Dongyi Kim +3
Humans can infer approximate interaction force between objects from only vision information because we already have learned it through experiences. Based on this idea, we propose a…