The first challenge is the exorbitant cost of scaling up the size of manually-labeled video datasets. The recent creation of large-scale action recognition datasets [5,15,25,26]hasundoubtedly enabled amajor leap forwardinvideo models accuracies.
Class incremental learning (CIL) problem, in which a learner should incrementally learn newly arriving class objects while not "catastrophically" forgetting the past learned classes, isone ofthe fundamental, yet still open, problems in machine learning.
Furthermore, H represents processinwhich intheprocess. Training generation Training time 200 test runs Total test) EnKIw/oLearning 0.0 0.0 Calibrate, emulate, sample.Journalof Computational Physics, 424:109716, 2021.
While various complexity measures for deep neural networks exist, specifying an appropriate measure capable of predicting and explaining generalization in deep networks has provenchallenging.