Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Liu, Aoming"'
Immersive scene generation, notably panorama creation, benefits significantly from the adaptation of large pre-trained text-to-image (T2I) models for multi-view image generation. Due to the high cost of acquiring multi-view images, tuning-free genera
Externí odkaz:
http://arxiv.org/abs/2408.02157
Data augmentation has been an indispensable tool to improve the performance of deep neural networks, however the augmentation can hardly transfer among different tasks and datasets. Consequently, a recent trend is to adopt AutoML technique to learn p
Externí odkaz:
http://arxiv.org/abs/2104.04282
This paper aims at enlarging the problem of Neural Architecture Search (NAS) from Single-Path and Multi-Path Search to automated Mixed-Path Search. In particular, we model the NAS problem as a sparse supernet using a new continuous architecture repre
Externí odkaz:
http://arxiv.org/abs/2007.16112
Publikováno v:
IEEE Transactions on Instrumentation and Measurement; 2024, Vol. 73 Issue: 1 p1-13, 13p
