Filters








10,143 Hits in 4.7 sec

Hierarchical Novelty Detection for Visual Object Recognition [article]

Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
2018 arXiv   pre-print
Deep neural networks have achieved impressive success in large-scale visual object recognition tasks with a predefined set of classes.  ...  In this paper, we study more informative novelty detection schemes based on a hierarchical classification framework.  ...  We also thank Zeynep Akata, Yongqin Xian, Junhyuk Oh, Lajanugen Logeswaran, Sungryull Sohn, Jongwook Choi, and Yijie Guo for helpful discussions.  ... 
arXiv:1804.00722v2 fatcat:hhe776kqzfaylpk56c7xdxujue

Hierarchical Novelty Detection for Visual Object Recognition

Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
Deep neural networks have achieved impressive success in large-scale visual object recognition tasks with a predefined set of classes.  ...  In this paper, we study more informative novelty detection schemes based on a hierarchical classification framework.  ...  We also thank Zeynep Akata, Yongqin Xian, Junhyuk Oh, Lajanugen Logeswaran, Sungryull Sohn, Jongwook Choi, and Yijie Guo for helpful discussions.  ... 
doi:10.1109/cvpr.2018.00114 dblp:conf/cvpr/LeeLMZSL18 fatcat:faqkpwivwjerbf3jw6cyssftzm

Office-mate: Selective attention and incremental object perception

Minho Lee, Young-Min Jnag, Sang-Woo Ban
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
Novelty detection is one of essential functions for the officemate to detect a situation change.  ...  Moreover, it can adaptively acquire new information based on incremental object perception, face recognition, and emotion representation.  ...  attention, object perception, face recognition, emotion representation, and novelty scene detection.  ... 
doi:10.1109/icsmc.2009.5346280 dblp:conf/smc/LeeJB09 fatcat:dfji5njrqvfixp4sfdsmbttz5y

Recognition memory impairments caused by false recognition of novel objects

Lok-Kin Yeung, Jennifer D. Ryan, Rosemary A. Cowell, Morgan D. Barense
2013 Journal of experimental psychology. General  
Here, we developed a new object recognition memory paradigm that distinguished whether object recognition memory impairments were driven by previously viewed objects being treated as if they were novel  ...  perceptually similar objects, leading to the false recognition of novel objects as having been seen before.  ...  The pattern of results observed in the two older adult groupsfalse recognition for HI novel objects but preserved novelty detection for LI novel objects-can be explained by the representational-hierarchical  ... 
doi:10.1037/a0034021 pmid:23937183 fatcat:3hzegzg4cbetfp33zige5aybfy

Visual Attention-Guided Approach to Monitoring of Medication Dispensing Using Multi-location Feature Saliency Patterns

Roman Palenichka, Ahmed Lakhssassi, Myroslav Palenichka
2015 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)  
The attention operator combines a spatial saliency filter with a temporal change (novelty) detector in order to robustly detect salient and object-relevant feature points.  ...  The algorithmic basis of the system is the attentive vision approach to robust and fast object detection in images.  ...  It consists of two hierarchical image analysis phases for object recognition: focal and peripheral. These two phases represent the visual attention mechanisms for fast and reliable image analysis.  ... 
doi:10.1109/iccvw.2015.67 dblp:conf/iccvw/PalenichkaLP15 fatcat:tkm27ehnnbdjdlolkkg3kztx6i

On detection of novel categories and subcategories of images using incongruence

Dalia Coppi, Teofilo de Campos, Fei Yan, Josef Kittler, Rita Cucchiara
2014 Proceedings of International Conference on Multimedia Retrieval - ICMR '14  
In this paper, we consider the problem of detecting novelty in object recognition problems in which the set of object classes are grouped to form a semantic hierarchy.  ...  We demonstrate that this approach achieves good novelty detection rates as far as the conceptual taxonomy is congruent with the visual hierarchy, but tends to fail if this assumption is not satisfied.  ...  ACKNOWLEDGMENTS The authors are grateful for the support of EPSRC grants EP/F069421/1, EP/F02827X/1 and EP/K014307/1 (UK). REFERENCES  ... 
doi:10.1145/2578726.2578769 dblp:conf/mir/CoppiCYKC14 fatcat:hvz2p323fbdkrmxiulhynszvj4

Robot in the mirror: toward an embodied computational model of mirror self-recognition [article]

Matej Hoffmann, Shengzhi Wang, Vojtech Outrata, Elisabet Alzueta, Pablo Lanillos
2020 arXiv   pre-print
The core of our technical contribution is learning the appearance representation and visual novelty detection by means of learning the generative model of the face with deep auto-encoders and exploiting  ...  Based on these, we provide suggestions for empirical research. In particular, in our view, the way the infants or animals reach for the mark should be studied in detail.  ...  Novelty detection / surprise saliency The "novelty detection / surprise saliency" is the module responsible for recognizing one's own face (Section 2.3) and detecting the mark as an object that does not  ... 
arXiv:2011.04485v1 fatcat:ousnbkjinjcl3lwxktqw6vl6mm

A Computational Model of Perceptual and Mnemonic Deficits in Medial Temporal Lobe Amnesia

Patrick S. Sadil, Rosemary A. Cowell
2017 Journal of Cognitive Neuroscience  
Objects are instead represented as a collection of features in posterior visual cortex.  ...  Barense et al. explained their data in terms of the representational-hierarchical account: Individuals with MTL damage lack the conjunctive representations of objects usually found in perirhinal cortex  ...  ACKNOWLEDGEMENTS We thank Morgan Barense and Lok-kin Yeung for sharing their data, and Morgan Barense for comments on a draft of the manuscript. This work was supported by NSF grant 1554871 to R.A.C.  ... 
doi:10.1162/jocn_a_01106 pmid:28195521 fatcat:x2my23osrvaolhuimbyxr3dsg4

Novelty Detection in Video Surveillance Using Hierarchical Neural Networks [chapter]

Jonathan Owens, Andrew Hunter, Eric Fletcher
2002 Lecture Notes in Computer Science  
A hierarchical self-organising neural network is described for the detection of unusual pedestrian behaviour in video-based surveillance systems.  ...  Top layer nodes have binary lateral connections and corresponding "novelty accumulator" nodes.  ...  invariant recognition of objects subject to spatial transformations.  ... 
doi:10.1007/3-540-46084-5_202 fatcat:q67xxukvpfejngxl2oeroodfcu

Psychophysiology of False Memories in a Deese-Roediger-McDermott Paradigm with Visual Scenes

Ali Baioui, Wolfgang Ambach, Bertram Walter, Dieter Vaitl, Claude Alain
2012 PLoS ONE  
The control group was implemented in order to statistically control for possible biases produced by memorability differences between stimulus types.  ...  This study attempts to investigate the peripheral physiology of false memories induced in a visual DRM paradigm.  ...  In the detection of concealed information, the orienting reflex and its modulators significance and novelty [29] are seen as primarily responsible for the effects reported in CIT studies [40] .  ... 
doi:10.1371/journal.pone.0030416 pmid:22272347 pmcid:PMC3260301 fatcat:5mtsrsqr2bbzzaolfj7xtdbyje

The University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes

Muhammad Atif Tahir, Fei Yan, Mark Barnard, Muhammad Awais, Krystian Mikolajczyk, Josef Kittler
2010 2010 20th International Conference on Pattern Recognition  
This paper describes our system in the ImageCLEF@ICPR Visual Concept Detection Task which ranked first for large-scale visual concept detection tasks in terms of Equal Error Rate (EER) and Area under Curve  ...  Visual concept detection is one of the most important tasks in image and video indexing.  ...  Visual Concept Detection System The visual concept detection problem can be formulated as a two class pattern recognition problem.  ... 
doi:10.1109/icpr.2010.214 dblp:conf/icpr/TahirYBAMK10 fatcat:a5t6qwdrezeutkqdgwzjn5crxq

Beyond Novelty Detection: Incongruent Events, When General and Specific Classifiers Disagree

Daphna Weinshall, Alon Zweig, Hynek Hermansky, Stefan Kombrink, Frank W. Ohl, Bach, Luc Van Gool, Fabian Nater, Tomas Pajdla, Michal Havlena, Misha Pavel
2012 IEEE Transactions on Pattern Analysis and Machine Intelligence  
) in audio-visual facial object recognition.  ...  We derive algorithms to detect incongruent events from different types of hierarchies, corresponding to class membership or part membership.  ...  New sub-class: a new object has been encountered, of some known generic type but unknown specifics.  ... 
doi:10.1109/tpami.2011.279 pmid:22213766 fatcat:gyagbj4mvnbfnfmhmyv6ph7inu

Novelty detection in wildlife scenes through semantic context modelling

Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis
2012 Pattern Recognition  
An advantage of our approach is that it can be used for novelty detection and scene classification at the same time.  ...  In this paper we propose a novel framework that deals with novelty detection in multiple-scene image sets.  ...  Novelty detection For novelty detection, the testing images are processed by the proposed MOC-DT algorithm.  ... 
doi:10.1016/j.patcog.2012.02.036 fatcat:udsacrl5xvcjvbteyjbksabjha

Disambiguating the recognition of 3D objects

G. Guerra-Filho
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
We propose novel algorithms for the detection, segmentation, recognition, and pose estimation of threedimensional objects.  ...  A hierarchical structure is constructed to organize the objects in terms of shared primitives and relations between different primitives in the same object.  ...  Related Work The construction of a hierarchical structure to organize object models has been used in the context of object recognition through its visual appearance in 2D images.  ... 
doi:10.1109/cvprw.2009.5206683 fatcat:kqtimlaxnrhtnbfnmwbkagcnuq

Disambiguating the recognition of 3D objects

Gutemberg Guerra-Filho
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
We propose novel algorithms for the detection, segmentation, recognition, and pose estimation of threedimensional objects.  ...  A hierarchical structure is constructed to organize the objects in terms of shared primitives and relations between different primitives in the same object.  ...  Related Work The construction of a hierarchical structure to organize object models has been used in the context of object recognition through its visual appearance in 2D images.  ... 
doi:10.1109/cvpr.2009.5206683 dblp:conf/cvpr/Guerra-Filho09 fatcat:xjn7dgwezjfv5bdg74lihsmdny
« Previous Showing results 1 — 15 out of 10,143 results