28 citations · 32 across the 9 of their papers we have counts for
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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.CV2022★ 28 cited
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification
Hyungtae Lee, Sungmin Eum, Heesung Kwon
A pretrain-finetune strategy is widely used to reduce the overfitting that can occur when data is insufficient for CNN training. First few layers of a CNN pretrained on a large-sca…