Results 11 to 20 of about 731,801 (353)
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking [PDF]
Computer Vision and Pattern Recognition, 2023 Scale is the primary factor for building a powerful foundation model that could well generalize to a variety of downstream tasks. However, it is still challenging to train video foundation models with billions of parameters.
Limin Wang +7 more
semanticscholar +1 more source
Scaling Language-Image Pre-Training via Masking [PDF]
Computer Vision and Pattern Recognition, 2022 We present Fast Language-Image Pre-training (FLIP), a simple and more efficient method for training CLIP [52]. Our method randomly masks out and removes a large portion of image patches during training.
Yanghao Li +4 more
semanticscholar +1 more source
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders [PDF]
Neural Information Processing Systems, 2022 Recently, significant progress has been made in masked image modeling to catch up to masked language modeling. However, unlike words in NLP, the lack of semantic decomposition of images still makes masked autoencoding (MAE) different between vision and ...
Gang Li +4 more
semanticscholar +1 more source
A Closer Look at Invalid Action Masking in Policy Gradient Algorithms [PDF]
The Florida AI Research Society, 2020 In recent years, Deep Reinforcement Learning (DRL) algorithms have achieved state-of-the-art performance in many challenging strategy games. Because these games have complicated rules, an action sampled from the full discrete action distribution ...
Shengyi Huang, Santiago Ontan'on
semanticscholar +1 more source
Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2018 Single-channel, speaker-independent speech separation methods have recently seen great progress. However, the accuracy, latency, and computational cost of such methods remain insufficient.
Yi Luo, N. Mesgarani
semanticscholar +1 more source
"Masking Is Life": Experiences of Masking in Autistic and Nonautistic Adults.
Autism in Adulthood, 2021 Background Autistic masking is an emerging research area, and so far, research has suggested that masking has a negative effect on autistic people. Masking relates to general social practices (such as identity management) and is often driven by stigma ...
Danielle Miller, J. Rees, Amy Pearson
semanticscholar +1 more source
Masking as an Efficient Alternative to Finetuning for Pretrained Language Models [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 We present an efficient method of utilizing pretrained language models, where we learn selective binary masks for pretrained weights in lieu of modifying them through finetuning.
Mengjie Zhao +3 more
semanticscholar +1 more source
Masking Emotions: Face Masks Impair How We Read Emotions
Frontiers in Psychology, 2021 To date, COVID-19 has spread across the world, changing our way of life and forcing us to wear face masks. This report demonstrates that face masks influence the human ability to infer emotions by observing facial configurations.
M. Gori, L. Schiatti, M. B. Amadeo
semanticscholar +1 more source
Autism in Adulthood, 2020 Autistic masking is an emerging research area that focuses on understanding the conscious or unconscious suppression of natural autistic responses and adoption of alternatives across a range of domains. It is suggested that masking may relate to negative
Amy Pearson, Kieran Rose
semanticscholar +1 more source
Impact of community masking on COVID-19: A cluster-randomized trial in Bangladesh
Science, 2021 Description Persuading people to mask Even in places where it is obligatory, people tend to optimistically overstate their compliance for mask wearing. How then can we persuade more of the population at large to act for the greater good?
Jason Abaluck +21 more
semanticscholar +1 more source