Category: News
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Code framework for Class-Incremental Learning
Check out our new framework for analysis of class-incremental learning (FACIL), which contains implementations of fourteen class-incremental algorithms and several baselines. It allows you to reproduce our results on CIFAR 100 presented in our survey paper.
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IJCV paper on multi-modal I2I
Yaxing’s paper on ‘Mix and match networks: cross-modal alignment for zero-pair image-to-image translation’ has been accepted for publication in IJCV.
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Won VOT-RGBT Challenge at ICCV 2019
Lichao Zhang won the VOT-RGBT challenge this year. His work is published in the VOT 2019 workshop: