56 citations · 80 across the 9 of their papers we have counts for
Showing 2018Show all
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cs.LG2018★ 56 cited
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons
Byeongho Heo, Minsik Lee, Sangdoo Yun +1
An activation boundary for a neuron refers to a separating hyperplane that determines whether the neuron is activated or deactivated. It has been long considered in neural networks…
cs.LG2018★ 17 cited
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Byeongho Heo, Minsik Lee, Sangdoo Yun +1
Many recent works on knowledge distillation have provided ways to transfer the knowledge of a trained network for improving the learning process of a new one, but finding a good te…
cs.CV2018★ 1 cited
Deep Pose Consensus Networks
Geonho Cha, Minsik Lee, Jungchan Cho +1
In this paper, we address the problem of estimating a 3D human pose from a single image, which is important but difficult to solve due to many reasons, such as self-occlusions, wil…