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07/24/2023
CLIP-KD: An Empirical Study of Distilling CLIP Models
CLIP has become a promising language-supervised visual pre-training fram...
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04/20/2023
eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation
Class-Incremental Learning (CIL) aims to solve the neural networks' cata...
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02/10/2023
A Survey on Causal Reinforcement Learning
While Reinforcement Learning (RL) achieves tremendous success in sequent...
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04/28/2022
TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving
The new generation of 4D high-resolution imaging radar provides not only...
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01/17/2022
Lifelong Generative Learning via Knowledge Reconstruction
Generative models often incur the catastrophic forgetting problem when t...
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11/01/2021
Fast Convolution based on Winograd Minimum Filtering: Introduction and Development
Convolutional Neural Network (CNN) has been widely used in various field...
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08/12/2021