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

• المؤلفون الرئيسيون: Wang, Jian-Gang, Mahendran, Prabhu Shankar, Teoh, Eam-Khwang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering; Affordance Learning; Object Detection
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/142977
• المؤسسة: Nanyang Technological University

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...