Deep affordance learning for single- and multiple-instance object detection

• Main Authors: Wang, Jian-Gang, Mahendran, Prabhu Shankar, Teoh, Eam-Khwang
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2020
• 主題: Engineering::Electrical and electronic engineering; Affordance Learning; Object Detection
• 在線閱讀: https://hdl.handle.net/10356/142977

Affordance learning in general, is to identify the purpose, use, and ways to interact with an object, based on information gained from observing the object. Most of the existing affordance learning approaches assume the object target has been cropped individually from images. However, the object cou...