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2312.04398
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Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
Transportation Research Record (TRR), 2023
21 February 2025
Yongqi Dong
Xingmin Lu
Ruohan Li
Wei Song
B. Arem
Haneen Farah
ViT
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Papers citing
"Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning"
24 / 24 papers shown
Parking Availability Prediction via Fusing Multi-Source Data with A Self-Supervised Learning Enhanced Spatio-Temporal Inverted Transformer
Yin Huang
Yongqi Dong
Youhua Tang
Li Li
65
0
0
04 Sep 2025
A Self-Supervised Transformer for Unusable Shared Bike Detection
Yin Huang
Yongqi Dong
Youhua Tang
Alvaro García Hernandez
182
0
0
02 May 2025
Characterization and Mitigation of Insufficiencies in Automated Driving Systems
Yuting Fu
Jochen Seemann
C. Hanselaar
Tim Beurskens
A. Terechko
E. Silvas
Maurice Heemels
167
4
0
15 Apr 2024
Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection
Yongqi Dong
Lanxin Zhang
Haneen Farah
Arkady Zgonnikov
B. Arem
347
1
0
07 Dec 2023
Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss
Ruohan Li
Yongqi Dong
226
8
0
26 May 2023
Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network
Yongqi Dong
Ke Chen
Yinxuan Peng
Zhiyuan Ma
AAML
131
19
0
21 Jul 2022
Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality
Xiang Li
Wenhai Wang
Lingfeng Yang
Jian Yang
296
86
0
20 May 2022
Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Maximilian Nitsche
J. Marius Zöllner
175
163
0
17 Apr 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
International Conference on Machine Learning (ICML), 2022
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLM
BDL
VLM
CLIP
1.3K
5,703
0
28 Jan 2022
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Edouard Grave
Edouard Grave
SSL
273
164
0
20 Dec 2021
SimMIM: A Simple Framework for Masked Image Modeling
Zhenda Xie
Zheng Zhang
Yue Cao
Yutong Lin
Jianmin Bao
Zhuliang Yao
Jingdong Sun
Han Hu
421
1,633
0
18 Nov 2021
Attention Mechanisms in Computer Vision: A Survey
Computational Visual Media (CVM), 2021
Meng-Hao Guo
Tianhan Xu
Jiangjiang Liu
Zheng-Ning Liu
Peng-Tao Jiang
Tai-Jiang Mu
Song-Hai Zhang
Ralph Robert Martin
Ming-Ming Cheng
Shimin Hu
286
2,082
0
15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Computer Vision and Pattern Recognition (CVPR), 2021
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
2.4K
10,037
0
11 Nov 2021
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
824
3,378
0
15 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
IEEE International Conference on Computer Vision (ICCV), 2021
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
2.8K
28,324
0
25 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
International Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
2.0K
40,975
0
26 Feb 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
IEEE International Conference on Computer Vision (ICCV), 2021
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
910
4,374
0
24 Feb 2021
Zero-Shot Text-to-Image Generation
International Conference on Machine Learning (ICML), 2021
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
815
5,970
0
24 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.4K
55,030
0
22 Oct 2020
Backpropagated Gradient Representations for Anomaly Detection
European Conference on Computer Vision (ECCV), 2020
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
208
78
0
18 Jul 2020
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Santhosh Kelathodi Kumaran
D. P. Dogra
P. Roy
182
165
0
24 Jan 2019
Image Transformer
Niki Parmar
Ashish Vaswani
Jakob Uszkoreit
Lukasz Kaiser
Noam M. Shazeer
Alexander Ku
Dustin Tran
ViT
470
1,827
0
15 Feb 2018
mixup: Beyond Empirical Risk Minimization
International Conference on Learning Representations (ICLR), 2017
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
714
11,100
0
25 Oct 2017
Multi-Label Learning with Global and Local Label Correlation
Yue Zhu
James T. Kwok
Zhi Zhou
209
351
0
04 Apr 2017
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