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03/02/2023
Practical Network Acceleration with Tiny Sets: Hypothesis, Theory, and Algorithm
Due to data privacy issues, accelerating networks with tiny training set...
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02/10/2023
EVC: Towards Real-Time Neural Image Compression with Mask Decay
Neural image compression has surpassed state-of-the-art traditional code...
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06/15/2022
How to Reduce Change Detection to Semantic Segmentation
Change detection (CD) aims to identify changes that occur in an image pa...
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02/18/2022
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning
Most recent semi-supervised deep learning (deep SSL) methods used a simi...
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02/17/2022
PENCIL: Deep Learning with Noisy Labels
Deep learning has achieved excellent performance in various computer vis...
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02/16/2022
Practical Network Acceleration with Tiny Sets
Network compression is effective in accelerating the inference of deep n...
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11/03/2020
In Defense of Feature Mimicking for Knowledge Distillation
Knowledge distillation (KD) is a popular method to train efficient netwo...
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08/09/2019