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cs.CV2022★ 1 cited
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification
Hyungtae Lee, Sungmin Eum, Heesung Kwon
We present a Momentum Re-identification (MoReID) framework that can leverage a very large number of negative samples in training for general re-identification task. The design of t…
cs.CV2016★ 3 cited
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification
Yilun Cao, Hyungtae Lee, Heesung Kwon
In this paper, we introduce a novel fusion method that can enhance object detection performance by fusing decisions from two different types of computer vision tasks: object detect…