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05/31/2023
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
Recently, a new line of works has emerged to understand and improve self...
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07/25/2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer
The success of Vision Transformer (ViT) in various computer vision tasks...
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06/27/2022
Compressing Features for Learning with Noisy Labels
Supervised learning can be viewed as distilling relevant information fro...
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04/28/2021
Boosting Co-teaching with Compression Regularization for Label Noise
In this paper, we study the problem of learning image classification mod...
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05/30/2020
Generalizing Random Fourier Features via Generalized Measures
We generalize random Fourier features, that usually require kernel funct...
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05/09/2019
Two-stage Best-scored Random Forest for Large-scale Regression
We propose a novel method designed for large-scale regression problems, ...
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04/16/2019
DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction
Long-term prediction of multivariate time series is still an important b...
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10/09/2018
Detecting object region and working state of aerator based on computer vision and machine learning
Aerator plays an important role in the regulation of dissolved oxygen in...
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10/09/2018
Real time expert system for anomaly detection of aerators based on computer vision technology and existing surveillance cameras
Aerators are essential and crucial auxiliary devices in intensive cultur...
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10/09/2018
