no code implementations • ICCV 2023 • Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Real-world data tends to follow a long-tailed distribution, where the class imbalance results in dominance of the head classes during training.
no code implementations • 6 Dec 2022 • Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Open world object detection aims at detecting objects that are absent in the object classes of the training data as unknown objects without explicit supervision.
no code implementations • 9 May 2022 • Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Incremental few-shot object detection aims at detecting novel classes without forgetting knowledge of the base classes with only a few labeled training data from the novel classes.
1 code implementation • NeurIPS 2021 • Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
In view of this limitation, we consider a more practical setting of complete absence of co-occurrence of the base and novel classes for the object detection task.
no code implementations • 17 Aug 2020 • Na Dong, Meng-die Zhai, Jian-fang Chang, Chun-ho Wu
Subsequently, after successfully separating the white blood cell from the blood smear image, a large number of nonlinear features including geometrical, color and texture features are extracted.
no code implementations • 29 May 2019 • Na Dong, Wen-qi Zhang, Zhong-ke Gao
Brain controlled vehicle refers to the vehicle that obtains control commands by analyzing the driver's EEG through Brain-Computer Interface (BCI).
Electroencephalogram (EEG) Systems and Control Human-Computer Interaction