Results 21 to 30 of about 232,052 (319)
The Sparse Abstract Machine [PDF]
ASPLOS 2023: Proceedings of the 28th ACM International Conference
on Architectural Support for Programming Languages and Operating Systems
Volume 3 (2023) 710-726, 2022 We propose the Sparse Abstract Machine (SAM), an abstract machine model for targeting sparse tensor algebra to reconfigurable and fixed-function spatial dataflow accelerators. SAM defines a streaming dataflow abstraction with sparse primitives that encompass a large space of scheduled tensor algebra expressions.
arxiv +1 more source
Promoting Segment Anything Model towards Highly Accurate Dichotomous Image Segmentation [PDF]
arXiv, 2023 The Segment Anything Model (SAM) represents a significant breakthrough into foundation models for computer vision, providing a large-scale image segmentation model. However, despite SAM's zero-shot performance, its segmentation masks lack fine-grained details, particularly in accurately delineating object boundaries.
arxiv
In Vitro Effect of Neopterin on Splenic Mast Cell Development in Senescence Accelerated Mice (SAM)
Pteridines, 2007 Neopterin is produced by monocytes and is a useful biomarker of inflammatory responses. We found that neopterin enhances granulopoiesis, but suppresses B-lymphopoiesis triggered by the positive- and negative regulations of cytokines produced by stromal ...
Harada Tomonori +4 more
doaj +1 more source
Borneo Journal of Pharmacy, 2021 The nutmeg (Myristica fragrans) flesh extract has a strong antioxidant activity. Therefore, M. fragrans flesh can be developed for functional drinks which are sources rich in antioxidants good for the prevention and treatment of diseases such as cancer ...
Irma Antasionasti +4 more
doaj +1 more source
Segment Anything in High Quality [PDF]
arXiv, 2023 The recent Segment Anything Model (SAM) represents a big leap in scaling up segmentation models, allowing for powerful zero-shot capabilities and flexible prompting. Despite being trained with 1.1 billion masks, SAM's mask prediction quality falls short in many cases, particularly when dealing with objects that have intricate structures.
arxiv
arXiv, 2023 The Segment Anything Model (SAM) represents a state-of-the-art research advancement in natural image segmentation, achieving impressive results with input prompts such as points and bounding boxes. However, our evaluation and recent research indicate that directly applying the pretrained SAM to medical image segmentation does not yield satisfactory ...
arxiv
FEBS Open Bio, EarlyView.Measuring AMP‐activated protein kinase (AMPK) activity in vitro is crucial for testing AMPK activators or inhibitors with therapeutic potential. Here, we report an enzyme‐linked immunosorbent assay (ELISA)‐based AMPK activity assay with simple steps and high sensitivity, which offers a simple, robust, and cost‐effective alternative to traditional ...
Trezze P. Nguyen, Shangze Lyu, Yang Liu
wiley +1 more source
GOOD UNIVERSITY GOVERNANCE, REPUTATION RISK, AND PUBLIC ACCOUNTABILITY PRIVATE UNIVERSITIES (PTS)
Jurnal Ilmiah Manajemen dan Bisnis, 2022 The purpose of this study was to determine the effect of good university governance and reputation risk management on the public accountability of private universities, especially Halmahera University.
Jenner David +4 more
doaj +1 more source
On the Robustness of Segment Anything [PDF]
arXiv, 2023 Segment anything model (SAM) has presented impressive objectness identification capability with the idea of prompt learning and a new collected large-scale dataset. Given a prompt (e.g., points, bounding boxes, or masks) and an input image, SAM is able to generate valid segment masks for all objects indicated by the prompts, presenting high ...
arxiv
A SAM framework for general equilibrium modeling and economic policy analysis
Cogent Economics & Finance, 2020 Social accounting matrix (SAM) is the linkage bridge between economic data and policy analysis in the general equilibrium models. While the empirical SAM is built upon economic data from the system of national accounts, the theoretical SAM is built upon ...
Truong Hong Trinh, Nguyen Manh Toan
doaj +1 more source