2 code implementations • ECCV 2020 • Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun
In this paper, We propose a simple and efficient operator called Border-Align to extract "border features" from the extreme point of the border to enhance the point feature.
1 code implementation • CVPR 2021 • Zhibo Fan, Yuchen Ma, Zeming Li, Jian Sun
Recently few-shot object detection is widely adopted to deal with data-limited situations.
1 code implementation • 23 Nov 2022 • Yuchen Ma, Yanbei Chen, Zeynep Akata
In this work, we formulate a new knowledge distillation framework to transfer the knowledge from self-supervised pre-trained models to any other student network by a novel approach named Embedding Graph Alignment.
1 code implementation • 7 Aug 2023 • Yuchen Ma, Zhengcong Fei, Junshi Huang
The proposed framework generates a data-dependent path per token, adapting to the object scales and visual discrimination of tokens.
no code implementations • 1 Dec 2016 • Lei Shi, Rui Guo, Yuchen Ma
Among these parameters, visual and step are very significant in view of the fact that artificial fish basically move based on these parameters.
no code implementations • 6 Oct 2020 • Zeming Li, Yuchen Ma, Yukang Chen, Xiangyu Zhang, Jian Sun
In this report, we present our object detection/instance segmentation system, MegDetV2, which works in a two-pass fashion, first to detect instances then to obtain segmentation.
no code implementations • CVPR 2021 • Yuchen Ma, Songtao Liu, Zeming Li, Jian Sun
We propose a dense object detector with an instance-wise sampling strategy, named IQDet.
no code implementations • 26 Oct 2023 • Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
It is often achieved through counterfactual fairness, which ensures that the prediction for an individual is the same as that in a counterfactual world under a different sensitive attribute.