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DAP: Detection-Aware Pre-training with Weak Supervision [article]

Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang
2021 arXiv   pre-print
This paper presents a detection-aware pre-training (DAP) approach, which leverages only weakly-labeled classification-style datasets (e.g., ImageNet) for pre-training, but is specifically tailored to benefit  ...  dataset through a weakly supervised object localization method based on Class Activation Maps to directly pre-train a detector, making the pre-trained model location-aware and capable of predicting bounding  ...  In this paper, we have proposed a Detection-Aware Pre-training (DAP) strategy under weak supervision.  ... 
arXiv:2103.16651v1 fatcat:javcwclhmfa7ho747hsoaaeawu

Domain-Agnostic Prior for Transfer Semantic Segmentation [article]

Xinyue Huo, Lingxi Xie, Hengtong Hu, Wengang Zhou, Houqiang Li, Qi Tian
2022 arXiv   pre-print
In this paper, we present a simple and effective mechanism that regularizes cross-domain representation learning with a domain-agnostic prior (DAP) that constrains the features extracted from source and  ...  target domains to align with a domain-agnostic space.  ...  And we initiate the ViT encoder with a model pre-trained on ImageNet-21k then fine-tune the segmentation network with a base learning rate of 0.01 adopted with the 'poly' learning rate decay and use SGD  ... 
arXiv:2204.02684v2 fatcat:yione7rdgfazngul3bjecv6xg4

Weakly Supervised Dense Event Captioning in Videos [article]

Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu and Junzhou Huang
2018 arXiv   pre-print
This paper formulates a new problem: weakly supervised dense event captioning, which does not require temporal segment annotations for model training.  ...  Dense event captioning aims to detect and describe all events of interest contained in a video.  ...  The model proposed by [10] resorts to the DAP method [16] for event detection and enhance the caption ability by applying the context-aware S2VT [7] .  ... 
arXiv:1812.03849v1 fatcat:pwjxl25jfrdopa7wijsyn7wrfi

Can dog appeasing pheromone ameliorate stress behaviours associated with anxiety in mature domestic dogs?

Chun Fung Wong, Merran Govendir
2021 Veterinary Evidence  
Conclusion The evidence for using DAP to manage stress behaviours associated with anxiety in dogs over six months of age remains weak.  ...  In shelter dogs, there was mild evidence that DAP could reduce barking intensity and increase some behaviours associated with relaxation.  ...  with anxiety in dogs over six months of age remains weak.  ... 
doi:10.18849/ve.v6i4.421 fatcat:z27h3vcc7vfljhrxh7q6rkhcbe

Blockchain abnormal behavior awareness methods: a survey

Chuyi Yan, Chen Zhang, Zhigang Lu, Zehui Wang, Yuling Liu, Baoxu Liu
2022 Cybersecurity  
Therefore, this work can provide a reference for blockchain security awareness research.  ...  Many researchers have worked on blockchain abnormal behavior awareness in respond to these threats.  ...  So in our opinion, we can start with the awareness of nodes and detect the pre-attack stage to prevent the implantation of mining programs, thereby detecting selfish mining behavior. 51% Attack awareness  ... 
doi:10.1186/s42400-021-00107-4 fatcat:vbkq4qx3zbfmxjrms52sygva3i

Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning

Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
2006 Neural Computation  
We use a supervised learning paradigm to derive a synaptic update rule that optimizes by gradient ascent the likelihood of postsynaptic firing at one or several desired firing times.  ...  This suggests that synaptic updates with an STDP function based on pairs of pre-and postsynaptic spikes is close to optimal in the pattern detection paradigm.  ...  In the presence of a teaching input and firing rate constraints, a weak reset of the membrane potential after the spike means that the neuron effectively has a depolarizing spike after potential (DAP).  ... 
doi:10.1162/neco.2006.18.6.1318 pmid:16764506 fatcat:nvdggbj6qjgkxl3bixlbfplcga

Towards Automatic Learning of Procedures from Web Instructional Videos [article]

Luowei Zhou, Chenliang Xu, Jason J. Corso
2017 arXiv   pre-print
., instructional videos from YouTube) with only visual evidence?  ...  The generated segments can be used as pre-processing for other tasks, such as dense video captioning and event parsing.  ...  The other one is weakly supervised segmentation, which is to first align the weak audio/subtitle signal with the video and then train our model with the aligned annotation.  ... 
arXiv:1703.09788v3 fatcat:insez6lgtfbfldguokozgluq7u

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing [article]

Jean-Pascal Pfister, Taro Toyoizumi, David Barber, Wulfram Gerstner
2005 arXiv   pre-print
We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient ascent the likelihood of postsynaptic firing at one or several desired firing times.  ...  In the presence of a teaching input and firing rate constraints, a weak reset of the membrane potential after the spike means that the neuron effectively has a depolarizing spike after potential (DAP).  ...  Hence the window of synaptic depression is also exponential with the same time constant. Qualitatively the same is true, if we include a weak reset.  ... 
arXiv:q-bio/0502037v1 fatcat:cjctovcfszeunfrtccxwrpai6u

Kindergarten curriculum enactment in a high-stakes public school context : an actor network theory investigation of the DAP vs. standards dilemma [article]

Brian Nelson Mowry
2017
During group time with my teacher, I would  ...  Also, children in the classroom were assigned to a group, each of which was labeled with the name of an animal.  ...  pre-service training and apprenticeship can foster agency in the face of opposition or coercion.  ... 
doi:10.15781/t2gf0nc15 fatcat:qm3u527iezextjmmcfdro52tpu

Early Childhood Educators' Knowledge of Developmental Milestones (KDM) and Appropriate Play Materials (KPM) in Relation to their Developmentally Appropriate Practices (DAP) in Child Care Centres in Quebec

Nathalie Di Francesco, Université D'Ottawa / University Of Ottawa, Université D'Ottawa / University Of Ottawa
2011
In addition, educators' BDAP was positively correlated with their level of declarative KPM, but their reported DAP was not linked to their level of KDM.  ...  Educators' levels of declarative KDM were positively correlated with their level of declarative KPM.  ...  Participating educators with strong KDM were found to have strong KPM and educators with weak KDM were found to have weak KPM.  ... 
doi:10.20381/ruor-4575 fatcat:kvvauqbr4rhcbbkzql54zr727u

Automated Multi-Process CTC Detection using Deep Learning [article]

Elena Ivanova, Kam W. Leong, Andrew F. Laine
2021 arXiv   pre-print
The recent developments in object detection via Deep Learning using Mask-RCNNs and wider availability of pre-trained models have enabled sensitive tasks with limited data of such to be tackled with unprecedented  ...  The training dataset is composed of 46 high variance data points, with 10 Negative and 36 Positive data points. The test set is composed of 420 negative data points.  ...  The training of the transfer learning model comes with a traditional train/test 0.8/0.2 split, focusing on the detection of the DAPIs with a mAP optimization function.  ... 
arXiv:2109.12709v1 fatcat:yez2uyavpzcr7edsorrobq253u

Human Action Recognition and Prediction: A Survey [article]

Yu Kong, Yun Fu
2022 arXiv   pre-print
Existing models, popular algorithms, technical difficulties, popular action databases, evaluation protocols, and promising future directions are also provided with systematic discussions.  ...  [277] proposed a weakly-supervised action detection model that is directly learned on the untrimmed video data, achieving performance on-par-with those of the full-supervised action detection methods  ...  Unsupervised and Self-supervised Action Learning Unsupervised or self-supervised representation learning is becoming popular in recent years as it allows deep neural networks to be pre-trained utilizing  ... 
arXiv:1806.11230v3 fatcat:2a2d7fuezbdqzfgrjwkcuqvmbu

The assessment of practical work in school science

Ian Abrahams, Michael J. Reiss, Rachael M. Sharpe
2013 Studies in science education  
detect an open or a short circuit in an electric circuit The candidate is supplied with three circuit boards each with three similar lamps in lampholders and connected in series.  ...  The ways included:  Focusing on skills development in first year practical courses;  Changes to course structures including pre-labs and project work;  Training for teachers and demonstrators;  Assessment  ...  Appendix 1: Glossary of terminology Direct Assessment of Practical Skills (DAPS): Where students' skills are assessed either in the presence of the person who is awarding marks (e.g. when observing the  ... 
doi:10.1080/03057267.2013.858496 fatcat:jnbzyghgefgn3ow3h7t7w2yxau

Teacher beliefs and practices survey: operationalising the 1997 NAEYC guidelines

Kyung‐Ran Kim, T.K. Buchanan
2008 Early Child Development and Care  
As described below, when cases with abnormal distribution were detected, they were inspected and corrected if needed.  ...  The third purpose was to investigate whether preservice teachers with a background in ECE had different beliefs about DAP than preservice teachers with less training in ECE.Students who majored in ECE/  ... 
doi:10.1080/03004430701830381 fatcat:la4l6zoz2zhhdpuo2denbyh4fy

Human Posture Estimation and Sustainable Events Classification via Pseudo-2D Stick Model and K-ary Tree Hashing

Ahmad Jalal, Israr Akhtar, Kibum Kim
2020 Sustainability  
This paper suggests that human pose estimation (HPE) and sustainable event classification (SEC) require an advanced human skeleton and context-aware features extraction approach along with machine learning  ...  Human body key points detection accuracy for the UCF50 dataset was 80.9%, for the hmdb51 dataset it was 82.1%, and for the Olympic sports dataset it was 81.7%.  ...  They used supervised classification algorithms with extracted features for event classification. Feng et al.  ... 
doi:10.3390/su12239814 fatcat:lr2xyirtmfd4vcw34ixxiklqea
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