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Dynamic Transfer for Multi-Source Domain Adaptation
Recent works of multi-source domain adaptation focus on learning a domai...
03/19/2021 ∙ by Yunsheng Li, et al. ∙
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Revisiting Dynamic Convolution via Matrix Decomposition
Recent research in dynamic convolution shows substantial performance boo...
03/15/2021 ∙ by Yunsheng Li, et al. ∙
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MicroNet: Towards Image Recognition with Extremely Low FLOPs
In this paper, we present MicroNet, which is an efficient convolutional ...
11/24/2020 ∙ by Yunsheng Li, et al. ∙
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Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings
Image hash codes are produced by binarizing the embeddings of convolutio...
07/27/2020 ∙ by Pedro Morgado, et al. ∙
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Explainable Object-induced Action Decision for Autonomous Vehicles
A new paradigm is proposed for autonomous driving. The new paradigm lies...
03/20/2020 ∙ by Yiran Xu, et al. ∙
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Efficient Multi-Domain Network Learning by Covariance Normalization
The problem of multi-domain learning of deep networks is considered. An ...
06/24/2019 ∙ by Yunsheng Li, et al. ∙
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Semantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes
The transfer of a neural network (CNN) trained to recognize objects to t...
05/27/2019 ∙ by Mandar Dixit, et al. ∙
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Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Domain adaptation for semantic image segmentation is very necessary sinc...
04/24/2019 ∙ by Yunsheng Li, et al. ∙
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