367 citations · 388 across the 4 of their papers we have counts for
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cs.CV2021★ 3 cited
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning
Baocheng Sun, Meng Gu, Dailan He +3
Learned image compression is making good progress in recent years. Peak signal-to-noise ratio (PSNR) and multi-scale structural similarity (MS-SSIM) are the two most popular evalua…
cs.CV2016★ 367 cited
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun, Kate Saenko
Deep neural networks are able to learn powerful representations from large quantities of labeled input data, however they cannot always generalize well across changes in input dist…
cs.CV2015★ 2 cited
What Do Deep CNNs Learn About Objects?
Xingchao Peng, Baochen Sun, Karim Ali +1
Deep convolutional neural networks learn extremely powerful image representations, yet most of that power is hidden in the millions of deep-layer parameters. What exactly do these…