ABiFN: Attention‐based bi‐modal fusion network for object detection at night time | Zendy

Sai Charan A. | Zendy; Jitesh M. | Zendy; Chowdhury M. | Zendy; Venkataraman H. | Zendy

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ABiFN: Attention‐based bi‐modal fusion network for object detection at night time

Author(s) -

Sai Charan A.,

Jitesh M.,

Chowdhury M.,

Venkataraman H.

Publication year - 2020

Publication title -

electronics letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.375

H-Index - 146

eISSN - 1350-911X

pISSN - 0013-5194

DOI - 10.1049/el.2020.1952

Subject(s) - modal , fusion , object (grammar) , computer science , sensor fusion , artificial intelligence , computer vision , real time computing , materials science , philosophy , linguistics , polymer chemistry

Camera‐based object detection in low‐light/night‐time conditions is a fundamental problem because of insufficient lighting. So far, a mid‐level fusion of RGB and thermal images is done to complement each other's features. In this work, an attention‐based bi‐modal fusion network is proposed for a better object detection in the thermal domain by integrating a channel‐wise attention module. The experimental results show that the proposed framework improves the mAP by 4.13 points on the FLIR dataset.

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