Feature pyramid transformer

• Main Authors: ZHANG, Dong, ZHANG, Hanwang, TANG, Jinhui, WANG, Meng, HUA, Xian-Sheng, SUN, Qianru
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Feature pyramid; Visual context; Transformer; Object detection; Instance segmentation; Semantic segmentation; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/5595; https://ink.library.smu.edu.sg/context/sis_research/article/6598/viewcontent/123730324.pdf
• Institution: Singapore Management University

Feature interactions across space and scales underpin modern visual recognition systems because they introduce beneficial visual contexts. Conventionally, spatial contexts are passively hidden in the CNN’s increasing receptive fields or actively encoded by non-local convolution. Yet, the non-local s...