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Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
8 July 2024
Yaozong Gan
Guang Li
Ren Togo
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
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Papers citing
"Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition"
5 / 5 papers shown
Title
Multimodal Large Language Models for Enhanced Traffic Safety: A Comprehensive Review and Future Trends
M. Tami
Mohammed Elhenawy
Huthaifa I. Ashqar
41
0
0
21 Apr 2025
Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition
Yaozong Gan
Guang Li
Ren Togo
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
44
1
0
03 Sep 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
298
3,007
0
22 Mar 2023
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
261
36,371
0
25 Aug 2016
1