A Two-Pipeline Instance Segmentation Network via Boundary Enhancement for Scene Understanding-Reference-Cited by-同舟云学术

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A Two-Pipeline Instance Segmentation Network via Boundary Enhancement for Scene Understanding

Published:2024 Issue: Volume:73 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Du Chaofan¹^ORCID,Liu Peter Xiaoping²^ORCID,Song Xiansong³^ORCID,Zheng Minhua¹^ORCID,Wang Changwei³^ORCID

Affiliation:

1. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China

2. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

3. Samsung R&D Institute China-Beijing (SRC-B), Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10500444.pdf?arnumber=10500444

Reference60 articles.

1. The Role of Machine Vision for Intelligent Vehicles

2. Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art

3. Restricted Deformable Convolution-Based Road Scene Semantic Segmentation Using Surround View Cameras

4. Multifeature Selective Fusion Network for Real-Time Driving Scene Parsing

5. Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving

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