Rethinking Open-World Object Detection in Autonomous Driving Scenarios-Reference-Cited by-同舟云学术

Rethinking Open-World Object Detection in Autonomous Driving Scenarios

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Ma Zeyu¹,Yang Yang²,Wang Guoqing¹,Xu Xing¹,Shen Heng Tao³,Zhang Mingxing¹

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

2. University of Electronic Science and Technology of China & Institute of Electronic and Information Engineering of UESTC in Guangdong, Chengdu, China

3. University of Electronic Science and Technology of China & Peng Cheng Laboratory, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Dongguan Songshan Lake Introduction Program of Leading Innovative and Entrepreneurial Talents

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548165

Reference57 articles.

1. Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding

2. Amjad Almahairi , Sai Rajeshwar , Alessandro Sordoni , Philip Bachman , and Aaron Courville . 2018 . Augmented cyclegan: Learning many-to-many mappings from unpaired data . In International Conference on Machine Learning. PMLR, 195--204 . Amjad Almahairi, Sai Rajeshwar, Alessandro Sordoni, Philip Bachman, and Aaron Courville. 2018. Augmented cyclegan: Learning many-to-many mappings from unpaired data. In International Conference on Machine Learning. PMLR, 195--204.

3. Zero-Shot Object Detection

4. Entity Slot Filling for Visual Captioning

5. Describing Video With Attention-Based Bidirectional LSTM

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Addressing Open-set Object Detection for Autonomous Driving perception: A focus on road objects;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. Uncertainty-Aware and Class-Balanced Domain Adaptation for Object Detection in Driving Scenes;IEEE Transactions on Intelligent Transportation Systems;2024

3. Model-Contrastive Learning for Backdoor Elimination;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

4. MIEP: Channel Pruning with Multi-granular Importance Estimation for Object Detection;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic Segmentation;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26