{"type":"ScholarlyArticle","title":"Object Detection in Real Open Environment","authors":[{"name":"Xiaowei Zhao","slug":"xiaowei-zhao","given":"Xiaowei","family":"Zhao","affiliation":"Beihang University"}],"abstract":"Although object detection has achieved impressive progress and has a broad impact, it still encounters significant challenges in accurately detecting objects in open-world scenarios. The data in real-world open scenes often exhibit characteristics of limited annotations, such as very few annotated samples or even unknown classes with no annotations. Our studies mainly focus on applying detection to various open scenes and addressing the challenges of sparse samples and unknown classes. The comprehensive research aims to develop more powerful and efficient methods for object detection in the open world, making them more suitable for real-world applications.","doi":"10.24963/ijcai.2023/826","url":"https://ijcai.org/proceedings/2023/826","pdf":"https://ijcai.org/proceedings/2023/0826.pdf","markdown":"https://ijcai.org/proceedings/2023/826.md","bibtex":"https://ijcai.org/proceedings/2023/bibtex/826","volume":{"slug":"2023","title":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2023","url":"https://ijcai.org/proceedings/2023/","year":2023,"location":"Macao, SAR","dates":"19-25 August 2023","editors":"Edith Elkind","isbn":"978-1-956792-03-4","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2023"},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":826,"pages":{"first":7103,"last":7104},"keywords":["Computer Vision: CV: Recognition (object detection, categorization)"],"videos":[],"references":[{"position":1,"raw":"[Wu et al., 2022] Yan Wu, Xiaowei Zhao, Yuqing Ma, Duorui Wang, and Xianglong Liu. Two-branch objectness- centric open world detection. In Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis, pages 35-40, 2022.","title":"Two-branch objectnesscentric open world detection","authors":"Yan Wu, Xiaowei Zhao, Yuqing Ma, Duorui Wang, Xianglong Liu","year":"2022","venue":"Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Zhao et al., 2022] Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yuqing Ma, Yixuan Qiao, and Duorui Wang. Re- visiting open world object detection. arXiv preprint arXiv:2201.00471, 2022.","title":"Revisiting open world object detection","authors":"Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yuqing Ma, Yixuan Qiao, Duorui Wang","year":"2022","venue":null,"doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Zhao et al., 2023] Xiaowei Zhao, Xianglong Liu, Yuqing Ma, Shihao Bai, Yifan Shen, Zeyu Hao, and Aishan Liu. Temporal speciation network for few-shot object detec- tion. IEEE Transactions on Multimedia, 2023.","title":"Temporal speciation network for few-shot object detection","authors":"Xiaowei Zhao, Xianglong Liu, Yuqing Ma, Shihao Bai, Yifan Shen, Zeyu Hao, Aishan Liu","year":"2023","venue":"IEEE Transactions on Multimedia","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Zhao, 2023] Xiaowei Zhao. Open world detection with causal learning. In Under Review, 2023.","title":"Open world detection with causal learning","authors":"Xiaowei Zhao","year":"2023","venue":"Under Review","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}