Motion context network for weakly supervised object detection in videos

• Main Authors: Jin, Ruibing, Lin, Guosheng, Wen, Changyun, Wang, Jianliang
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Convolutional Neural Networks; Deep Learning
• Online Access: https://hdl.handle.net/10356/160496
• Institution: Nanyang Technological University

In weakly supervised object detection, most existing approaches are proposed for images. Without box-level annotations, these methods cannot accurately locate objects. Considering an object may show different motion from its surrounding objects or background, we leverage motion information to improv...