Results 1 to 10 of about 832,334 (361)
ACS Nano, 2020 Filtration efficiency (FE), differential pressure (ΔP), quality factor (QF), and construction parameters were measured for 32 cloth materials (14 cotton, 1 wool, 9 synthetic, 4 synthetic blends, and 4 synthetic/cotton blends) used in cloth masks intended
Christopher D Zangmeister +2 more
exaly +2 more sources
Low-cost measurement of face mask efficacy for filtering expelled droplets during speech
Science Advances, 2020 A simple method was developed for evaluating the efficacy of face masks to reduce respiratory droplet emission during speaking. Mandates for mask use in public during the recent coronavirus disease 2019 (COVID-19) pandemic, worsened by global shortage of
Emma P Fischer +2 more
exaly +2 more sources
To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic [PDF]
Infectious Disease Modelling, 2020 Marina Mancuso, Enahoro A Iboi, Tin Phan
exaly +2 more sources
Masked-attention Mask Transformer for Universal Image Segmentation [PDF]
Computer Vision and Pattern Recognition, 2021 Image segmentation groups pixels with different semantics, e.g., category or instance membership. Each choice of semantics defines a task. While only the semantics of each task differ, current research focuses on designing spe-cialized architectures for ...
Bowen Cheng +4 more
semanticscholar +1 more source
Resolution-robust Large Mask Inpainting with Fourier Convolutions [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021 Modern image inpainting systems, despite the significant progress, often struggle with large missing areas, complex geometric structures, and high-resolution images.
Roman Suvorov +9 more
semanticscholar +1 more source
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP [PDF]
Computer Vision and Pattern Recognition, 2022 Open-vocabulary semantic segmentation aims to segment an image into semantic regions according to text descriptions, which may not have been seen during training. Recent two-stage methods first generate class-agnostic mask proposals and then leverage pre-
Feng Liang +8 more
semanticscholar +1 more source
DiffEdit: Diffusion-based semantic image editing with mask guidance [PDF]
International Conference on Learning Representations, 2022 Image generation has recently seen tremendous advances, with diffusion models allowing to synthesize convincing images for a large variety of text prompts.
Guillaume Couairon +3 more
semanticscholar +1 more source
MAT: Mask-Aware Transformer for Large Hole Image Inpainting [PDF]
Computer Vision and Pattern Recognition, 2022 Recent studies have shown the importance of modeling long-range interactions in the inpainting problem. To achieve this goal, existing approaches exploit either standalone attention techniques or transformers, but usually under a low resolution in ...
Wenbo Li +5 more
semanticscholar +1 more source
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation [PDF]
Computer Vision and Pattern Recognition, 2022 In this paper we present Mask DINO, a unified object detection and segmentation framework. Mask DINO extends DINO (DETR with Improved Denoising Anchor Boxes) by adding a mask prediction branch which supports all image segmentation tasks (instance ...
Feng Li +6 more
semanticscholar +1 more source
Mask3D: Mask Transformer for 3D Semantic Instance Segmentation [PDF]
IEEE International Conference on Robotics and Automation, 2022 Modern 3D semantic instance segmentation approaches predominantly rely on specialized voting mechanisms followed by carefully designed geometric clustering techniques. Building on the successes of recent Transformer-based methods for object detection and
Jonas Schult +5 more
semanticscholar +1 more source