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WidthFormer: Toward Efficient Transformer-based BEV View Transformation
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WidthFormer: Toward Efficient Transformer-based BEV View Transformation

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Chenhongyi Yang
Tianwei Lin
Lichao Huang
Elliot J. Crowley
    ViT
ArXiv (abs)PDFHTMLGithub (145★)

Papers citing "WidthFormer: Toward Efficient Transformer-based BEV View Transformation"

2 / 2 papers shown
Title
Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection
Refine-and-Contrast: Adaptive Instance-Aware BEV Representations for Multi-UAV Collaborative Object Detection
Zhongyao Li
Peirui Cheng
Liangjin Zhao
Chen Chen
Yundu Li
Zhechao Wang
Xue Yang
Xian Sun
Zhirui Wang
40
0
0
18 Aug 2025
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive ReviewIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Xinyu Jiao
Yunlong Wang
Jiusi Li
Zelin Qian
Jun Wen
Mengmeng Yang
Ke Wang
Diange Yang
248
36
0
02 Mar 2023

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