PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation

Author:

Zhang Liwen1,Zhang Xinyan2,Zhang Youcheng1,Guo Yufei1,Chen Yuanpei1,Huang Xuhui1,Ma Zhe1

Affiliation:

1. Intelligent Science & Technology Academy of CASIC,Beijing,China,100144

2. Harbin Institute of Technology,Faculty of Computing,Heilongjiang,China,150001

Publisher

IEEE

Reference29 articles.

1. RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar

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5. Mask r-cnn;he;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020

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1. TC–Radar: Transformer–CNN Hybrid Network for Millimeter-Wave Radar Object Detection;Remote Sensing;2024-08-07

2. Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

3. TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review;IEEE Transactions on Intelligent Vehicles;2023

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