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Found 3 papers, 2 papers with code
Continual Learning for Out-of-Distribution Pedestrian Detection
A continual learning solution is proposed to address the out-of-distribution generalization problem for pedestrian detection.
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework
Next, we assert that by treating the learning of the Head and Tail as two separate and sequential steps, Continual Learning (CL) methods can effectively update the weights of the learner to learn the Tail without forgetting the Head.
Multiscale Crowd Counting and Localization By Multitask Point Supervision
As the detection and localization tasks are well-correlated and can be jointly tackled, our model benefits from a multitask solution by learning multiscale representations of encoded crowd images, and subsequently fusing them.
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