Results 41 to 50 of about 31,762 (259)
Weakly supervised classification in high energy physics
As machine learning algorithms become increasingly sophisticated to exploit subtle features of the data, they often become more dependent on simulations.
Lucio Mwinmaarong Dery +3 more
doaj +1 more source
Real-World Video Anomaly Detection by Extracting Salient Features in Videos
We propose a lightweight and accurate method for detecting anomalies in videos. Existing methods used multiple-instance learning (MIL) to determine the normal/abnormal status of each segment of the video.
Yudai Watanabe +3 more
doaj +1 more source
Weakly-Supervised Learning of Visual Relations [PDF]
This paper introduces a novel approach for modeling visual relations between pairs of objects. We call relation a triplet of the form (subject, predicate, object) where the predicate is typically a preposition (eg. 'under', 'in front of') or a verb ('hold', 'ride') that links a pair of objects (subject, object).
Julia Peyre +3 more
openaire +3 more sources
This paper proposes a novel multimodal deep weakly-supervised learning framework, SinkholeNet, to classify and localize sinkhole(s) in high-resolution RGB-slope aerial images.
Amir Yavariabdi +6 more
doaj +1 more source
Weakly-Supervised Alignment of Video with Text [PDF]
ICCV 2015 - IEEE International Conference on Computer Vision, Dec 2015, Santiago ...
Bojanowski, Piotr +6 more
openaire +3 more sources
Weakly Supervised Cross-Domain Mixed Dish Detection With Mean-Teacher
Mixed dish, which mixes different types of dishes in one plate, is a popular kind of food in East and Southeast Asia. Identifying the dish type in the mixed dish is essential for dietary tracking, which gains increasing research attention recently ...
Lixi Deng, Xu Zhang, Zhijie Shang
doaj +1 more source
Learning Weakly-Supervised Contrastive Representations
We argue that a form of the valuable information provided by the auxiliary information is its implied data clustering information. For instance, considering hashtags as auxiliary information, we can hypothesize that an Instagram image will be semantically more similar with the same hashtags. With this intuition, we present a two-stage weakly-supervised
Yao-Hung Hubert Tsai +5 more
openaire +3 more sources
Weakly supervised instance action recognition
We study the novel problem of weakly supervised instance action recognition (WSiAR) in multi-person (crowd) scenes. We specifically aim to recognize the action of each subject in the crowd, for which we propose the use of a weakly supervised method ...
Haomin Yan +4 more
doaj +1 more source
Weakly Supervised Violence Detection in Surveillance Video
Automatic violence detection in video surveillance is essential for social and personal security. Monitoring the large number of surveillance cameras used in public and private areas is challenging for human operators.
David Choqueluque-Roman +1 more
doaj +1 more source
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source

