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20182026
most citedFeeding Hand-Crafted Features for Enhancing the Performance of Convolutional Neural Networks

25 citations · 56 across the 8 of their papers we have counts for

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Showing 2019Show all

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cs.CV2019★ 2 cited

Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning

Sepidehsadat Hosseini, Mohammad Amin Shabani, Nam Ik Cho

We propose a new semi-supervised learning method on face-related tasks based on Multi-Task Learning (MTL) and data distillation. The proposed method exploits multiple datasets with…