Feature pyramid transformer

Feature pyramid transformer

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/5595
https://ink.library.smu.edu.sg/context/sis_research/article/6598/viewcontent/123730324.pdf

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