We propose a new paradigm to automatically generate training data with
a...
Due to the increase in computational resources and accessibility of data...
We focus on the challenge of out-of-distribution (OOD) detection in deep...
In Lifelong Learning (LL), agents continually learn as they encounter ne...
We propose EM-PASTE: an Expectation Maximization(EM) guided Cut-Paste
co...
Training computer vision models usually requires collecting and labeling...
We investigate the contributions of three important features of the huma...
Object cut-and-paste has become a promising approach to efficiently gene...
Learning the causal structure behind data is invaluable for improving
ge...
We focus on controllable disentangled representation learning (C-Dis-RL)...
Despite substantial progress in applying neural networks (NN) to a wide
...
The human brain is the gold standard of adaptive learning. It not only c...
Visual cognition of primates is superior to that of artificial neural
ne...
Object pose increases interclass object variance which makes object
reco...
Thermal ablation is a minimally invasive procedure for treat-ing small o...