200 citations · 296 across the 6 of their papers we have counts for
3 papers · 1 filter
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering
Doyup Lee, Yeongjae Cheon, Wook-Shin Han
For stability and reliability of real-world applications, the robustness of DNNs in unimodal tasks has been evaluated. However, few studies consider abnormal situations that a visu…
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
Sanghoon Hong, Byungseok Roh, Kye-Hyeon Kim +2
In object detection, reducing computational cost is as important as improving accuracy for most practical usages. This paper proposes a novel network structure, which is an order o…
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
Kye-Hyeon Kim, Sanghoon Hong, Byungseok Roh +2
This paper presents how we can achieve the state-of-the-art accuracy in multi-category object detection task while minimizing the computational cost by adapting and combining recen…