Results 11 to 20 of about 2,297,328 (417)
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers [PDF]
Computer Vision and Pattern Recognition, 2022 Weakly-supervised semantic segmentation (WSSS) with image-level labels is an important and challenging task. Due to the high training efficiency, end-to-end solutions for WSSS have received increasing attention from the community.
Lixiang Ru +3 more
semanticscholar +1 more source
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime approach to detect the 2D pose of multiple people in an image.
Zhe Cao +4 more
semanticscholar +1 more source
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields [PDF]
Computer Vision and Pattern Recognition, 2016 We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image ...
Zhe Cao, T. Simon, S. Wei, Yaser Sheikh
semanticscholar +1 more source
DeepDTA: deep drug–target binding affinity prediction [PDF]
Bioinform., 2018 Motivation The identification of novel drug‐target (DT) interactions is a substantial part of the drug discovery process. Most of the computational methods that have been proposed to predict DT interactions have focused on binary classification, where ...
Hakime Öztürk +2 more
semanticscholar +1 more source
Learning Pixel-Level Semantic Affinity with Image-Level Supervision for Weakly Supervised Semantic Segmentation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 The deficiency of segmentation labels is one of the main obstacles to semantic segmentation in the wild. To alleviate this issue, we present a novel framework that generates segmentation labels of images given their image-level class labels.
Jiwoon Ahn, Suha Kwak
semanticscholar +1 more source
Scientific Reports, 2021 Molecular evolution is an important step in the development of therapeutic antibodies. However, the current method of affinity maturation is overly costly and labor-intensive because of the repetitive mutation experiments needed to adequately explore ...
K. Saka +7 more
semanticscholar +1 more source
Development and evaluation of a deep learning model for protein–ligand binding affinity prediction [PDF]
Bioinform., 2017 Motivation: Structure based ligand discovery is one of the most successful approaches for augmenting the drug discovery process. Currently, there is a notable shift towards machine learning (ML) methodologies to aid such procedures.
Marta M. Stepniewska-Dziubinska +2 more
semanticscholar +1 more source
An affinity for affine quantum gravity [PDF]
Proceedings of the Steklov Institute of Mathematics, 2011 14 pages, contribution to the proceedings of the conference "Gauge Fields. Yesterday, Today, and Tomorrow", Moscow, Russia, Jan.
openaire +2 more sources
Fat digestibility is reduced in old cats with subnormal cobalamin concentrations
Journal of Nutritional Science, 2014 Fat digestibility is decreased in old cats for unknown reasons. Subclinical gastrointestinal diseases and pancreatic dysfunction, both related to ageing, can affect food digestibility.
Anna Salas +9 more
doaj +1 more source
Advances in Molecularly Imprinted Polymers Based Affinity Sensors (Review)
Polymers, 2021 Recent challenges in biomedical diagnostics show that the development of rapid affinity sensors is very important issue. Therefore, in this review we are aiming to outline the most important directions of affinity sensors where polymer-based ...
Simonas Ramanavičius +2 more
semanticscholar +1 more source