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cs.CV2024
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases
Cristian Meo, Akihiro Nakano, Mircea Lică +7
Unsupervised object-centric learning from videos is a promising approach towards learning compositional representations that can be applied to various downstream tasks, such as pre…
cs.CV2021★ 4 cited
Cross-Task Consistency Learning Framework for Multi-Task Learning
Akihiro Nakano, Shi Chen, Kazuyuki Demachi
Multi-task learning (MTL) is an active field in deep learning in which we train a model to jointly learn multiple tasks by exploiting relationships between the tasks. It has been s…