Titlebook: Computer Vision – ECCV 2022; 17th European Confer Shai Avidan,Gabriel Brostow,Tal Hassner Conference proceedings 2022 The Editor(s) (if app

沙發(fā)

modest

,CoSCL: Cooperation of?Small Continual Learners is Stronger Than a?Big One,cture with a fixed number of narrower sub-networks to learn all incremental tasks in parallel, which can naturally reduce the two errors through improving the three components of the upper bound. To strengthen this advantage, we encourage to cooperate these sub-networks by penalizing the difference

peptic-ulcer

,Manifold Adversarial Learning for?Cross-domain 3D Shape Representation,ed to form . and retained in an adaptive replay-based memory. We further provide theoretical justification for the intermediate domains to reduce the generalization error of the DNN models. Experimental results on synthetic-to-real datasets illustrate that our method outperforms existing 3D deep lea

偽造者

Chagrin

事先無(wú)準(zhǔn)備

愚笨

incredulity

muster

Conference proceedings 2022ning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..

繼承人

0302-9743 ruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation..978-3-031-19808-3978-3-031-19809-0Series ISSN 0302-9743 Series E-ISSN 1611-3349