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12/19/2022
Fixed-Weight Difference Target Propagation
Target Propagation (TP) is a biologically more plausible algorithm than ...
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12/06/2022
Parameter Efficient Transfer Learning for Various Speech Processing Tasks
Fine-tuning of self-supervised models is a powerful transfer learning me...
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11/18/2022
Informative Sample-Aware Proxy for Deep Metric Learning
Among various supervised deep metric learning methods proxy-based approa...
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07/05/2022
PoF: Post-Training of Feature Extractor for Improving Generalization
It has been intensively investigated that the local shape, especially fl...
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05/18/2021
Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach
Detecting tiny objects in a high-resolution video is challenging because...
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12/18/2018
Hybrid Loss for Learning Single-Image-based HDR Reconstruction
This paper tackles high-dynamic-range (HDR) image reconstruction given o...
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12/11/2018
Classification-Reconstruction Learning for Open-Set Recognition
Open-set classification is a problem of handling `unknown' classes that ...
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05/15/2018
Cross-connected Networks for Multi-task Learning of Detection and Segmentation
Multi-task learning improves generalization performance by sharing knowl...
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09/14/2017
Learning Multi-frame Visual Representation for Joint Detection and Tracking of Small Objects
Deep convolutional and recurrent neural networks have delivered signific...
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04/04/2016