Results 81 to 90 of about 731,801 (353)
Uniform Masking Prevails in Vision-Language Pretraining [PDF]
Masked Language Modeling (MLM) has proven to be an essential component of Vision-Language (VL) pretraining. To implement MLM, the researcher must make two design choices: the masking strategy, which determines which tokens to mask, and the masking rate, which determines how many tokens to mask.
arxiv
MaskingHardware masking schemes have shown many advances in the past few years. Through a series of publications their implementation cost has dropped significantly and flaws have been fixed where present. Despite these advancements it seems that a limit
T. Cnudde, Maik Ender, A. Moradi
semanticscholar +1 more source
Non‐thermal plasma treatment of melanoma cells induced epithelial‐mesenchymal transition (EMT) in a dose‐dependent fashion. This report highlights the critical need to further investigate potential adverse effects of non‐thermal plasma for cancer therapy and to optimize treatment parameters for clinical translation. Despite the promising results of non‐
Eline Biscop+10 more
wiley +1 more source
The subjective truth of a statement is boosted by mere exposure to itself or a part of itself. This phenomenon is referred to as the illusory truth effect.
Kyoshiro Sasaki+3 more
doaj +1 more source
We introduce an immunohistochemistry method to measure autophagy flux, highlighting the active degradation and recycling of cellular waste. This cost‐effective approach uses tissue samples to track key markers like LC3 and SQSTM1, revealing how cells maintain health or respond to diseases such as cancer. It bridges the gap between research and clinical
Shahla Shojaei+6 more
wiley +1 more source
Recrystallized parylene as a mask for silicon chemical etching [PDF]
This paper presents the first use of recrystallized parylene as masking material for silicon chemical etch. Recrystallized parylene was obtained by melting parylene C at 350°C for 2 hours.
Kuo, Wen-Cheng+3 more
core +2 more sources
Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking
Time series anomaly detection is a task that determines whether an unseen signal is normal or abnormal, and it is a crucial function in various real-world applications. Typical approach is to learn normal data representation using generative models, like
Ah-Hyung Shin+2 more
doaj +1 more source
PMI-Masking: Principled masking of correlated spans [PDF]
Masking tokens uniformly at random constitutes a common flaw in the pretraining of Masked Language Models (MLMs) such as BERT. We show that such uniform masking allows an MLM to minimize its training objective by latching onto shallow local signals, leading to pretraining inefficiency and suboptimal downstream performance.
arxiv
A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification [PDF]
Face recognition under ideal conditions is now considered a well-solved problem with advances in deep learning. Recognizing faces under occlusion, however, still remains a challenge. Existing techniques often fail to recognize faces with both the mouth and nose covered by a mask, which is now very common under the COVID-19 pandemic.
arxiv