MTANet: Multitask-Aware Network With Hierarchical Multimodal Fusion for RGB-T Urban Scene Understanding
Author:
Affiliation:
1. School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, China
2. Institute of Information and Communication Engineering, Zhejiang University, Hangzhou, China
Funder
National Natural Science Foundation of China
Graduate Research and Innovation Fund of the Zhejiang University of Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/7274857/10024686/09749834.pdf?arnumber=9749834
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1. MAVNet: An Effective Semantic Segmentation Micro-Network for MAV-Based Tasks
2. Fast-scnn: Fast semantic segmentation network;poudel,2019
3. CEGFNet: Common Extraction and Gate Fusion Network for Scene Parsing of Remote Sensing Images
4. Deep Binocular Fixation Prediction using a Hierarchical Multimodal Fusion Network
5. RLLNet: a lightweight remaking learning network for saliency redetection on RGB-D images
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