@incollection{, B9201BB6D1C448B476E7D02B1AF0B472 , author={{SpiridonKasapis} and {GengZang} and {Jonathon M.Smereka} and {NickolasVlahopoulos} and {University of Michigan}}, journal={{Global Journal of Computer Science and Technology}}, journal={{GJCST}}0975-41720975-435010.34257/gjcst, address={Cambridge, United States}, publisher={Global Journals Organisation}2221124 } @incollection{b0, , title={{From generic to specific deep representations for visual recognition}} , author={{ HosseinAzizpour }} , booktitle={{Proceedings of the IEEE conference on computer vision and pattern recognition workshops}} the IEEE conference on computer vision and pattern recognition workshops , year={2015} } @incollection{b1, , title={{AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning}} , author={{ Sh Shabbeer Basha }} , journal={{Neural Networks}} 133 , year={2021} } @incollection{b2, , title={{A fast iterative shrinkage-thresholding algorithm for linear inverse problems}} , author={{ AmirBeck } and { MarcTeboulle }} , journal={{SIAM journal on imaging sciences}} 2 1 , year={2009} } @incollection{b3, , title={{Towards open set deep networks}} , author={{ AbhijitBendale } and { TerranceEBoult }} , booktitle={{Proceedings of the IEEE conference on computer vision and pattern recognition}} the IEEE conference on computer vision and pattern recognition , year={2016} } @book{b4, , title={{Maximum margin vector correlation filter}} , author={{ NareshVishnu } and { BvkBoddeti } and { Kumar }} arXiv:1404.6031 , year={2014} , note={arXiv preprint} } @incollection{b5, , title={{Imagenet: A large-scale hierarchical image database}} , author={{ JiaDeng }} , booktitle={{IEEE conference on computer vision and pattern recognition}} , publisher={Ieee} , year={2009. 2009} } @book{b6, , title={{Reducing network agnostophobia}} , author={{ ManuelAkshay Raj Dhamija } and { TerranceeGünther } and { Boult }} arXiv:1811.04110 , year={2018} , note={arXiv preprint} } @incollection{b7, , title={{A deep convolutional activation feature for generic visual recognition}} , author={{ JeffDonahue }} , journal={{UC Berkeley & ICSI}} } @incollection{b8, , title={{Borrowing treasures from the wealthy: Deep transfer learning through selective joint fine-tuning}} , author={{ WeifengGe } and { YizhouYu }} , booktitle={{Proceedings of the IEEE conference on computer vision and pattern recognition}} the IEEE conference on computer vision and pattern recognition , year={2017} } @book{b9, , title={{Generative openmax for multiclass open set classification}} , author={{ ZongyuanGe }} arXiv:1707.07418 , year={2017} , note={arXiv preprint} } @book{b10, , title={{Caltech-256 object category dataset}} , author={{ GregoryGriffin } and { AlexHolub } and { PietroPerona }} , year={2007} } @incollection{b11, , title={{Measuring classifier performance: a coherent alternative to the area under the ROC curve}} , author={{ JDavid } and { Hand }} , journal={{Machine learning}} 77 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conference on computer vision}} the IEEE international conference on computer vision , year={2017} } @book{b17, , title={{A baseline for detecting misclassified and out-of-distribution examples in neural networks}} , author={{ DanHendrycks } and { KevinGimpel }} arXiv:1610.02136 , year={2016} , note={arXiv preprint} } @incollection{b18, , title={{Orthogonal weight normalization: Solution to optimization over multiple dependent stiefel manifolds in deep neural networks}} , author={{ LeiHuang }} , booktitle={{Thirty-Second AAAI Conference on Artificial Intelligence}} , year={2018} } @incollection{b19, , title={{Multi-class open set recognition using probability of inclusion}} , author={{ PLalit } and { Jain } and { JWalter } and { TerranceEScheirer } and { Boult }} , booktitle={{European Conference on Computer Vision}} , publisher={Springer} , year={2014} } @incollection{b20, , title={{Improving training of deep neural networks via singular value bounding}} , author={{ KuiJia }} , booktitle={{Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}} the IEEE Conference on Computer Vision and Pattern Recognition , year={2017} } @incollection{b21, , title={{A multilevel optimization algorithm and a ship design application}} , author={{ HongyoonKim } and { NickolasVlahopoulos }} , booktitle={{12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14 th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference}} , year={2012} 5555 } @book{b22, , title={{One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification}} , author={{ JedrzejKozerawski } and { MatthewTurk }} arXiv:2109.06859 , year={2021} , note={arXiv preprint} } @incollection{b23, , title={{Imagenet classification with deep convolutional neural networks}} , author={{ AlexKrizhevsky } and { IlyaSutskever } and { GeoffreyEHinton }} , journal={{Advances in neural information processing systems}} 25 , year={2012} } @incollection{b24, , title={{Few-shot open-set recognition using meta-learning}} , author={{ BoLiu }} , booktitle={{Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}} the IEEE/CVF Conference on Computer Vision and Pattern Recognition , year={2020} } @incollection{b25, , title={{Safetynet: Detecting and rejecting adversarial examples robustly}} , author={{ JiajunLu } and { TheerasitIssaranon } and { DavidForsyth }} , booktitle={{Proceedings of the IEEE}} the IEEE , year={2017} } @incollection{b26, , title={{Derivation and evaluation of landslide-triggering thresholds by a Monte Carlo approach}} , author={{ Dj Peres } and { Cancelliere }} , journal={{Hydrology and Earth System Sciences}} 18 12 , year={2014} } @incollection{b27, , title={{Memory based online learning of deep representations from video streams}} , author={{ FedericoPernici }} , booktitle={{Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}} the IEEE Conference on Computer Vision and Pattern Recognition , year={2018} } @book{b28, , title={{Algorithm for military object detection using image data}} , author={{ IqPham } and { MPolasek }} 2014 } @book{b29, , title={{IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC)}} , publisher={IEEE} , year={2014} } @incollection{b30, , title={{Probability models for open set recognition}} , author={{ JWalter } and { Scheirer } and { PLalit } and { TerranceEJain } and { Boult }} , booktitle={{IEEE transactions on pattern analysis and machine intelligence}} , year={2014} 36 } @incollection{b31, , title={{Toward open set recognition}} , author={{ JWalter } and { Scheirer }} , booktitle={{IEEE transactions on pattern analysis and machine intelligence}} , year={2012} 35 } @book{b32, , title={{Very deep convolutional networks for large-scale image recognition}} , author={{ KarenSimonyan } and { AndrewZisserman }} arXiv:1409.1556 , year={2014} , note={arXiv preprint} } @incollection{b33, , title={{Video object discovery and cosegmentation with extremely weak supervision}} , author={{ LeWang }} , booktitle={{European Conference on Computer Vision}} , publisher={Springer} , year={2014} } @incollection{b34, , title={{Joint infrared target recognition and segmentation using a shape manifold-aware level set}} , author={{ LiangjiangYu }} , journal={{Sensors}} 15 , year={2015} } @incollection{b35, , title={{Places:A10 million image database for scene recognition}} , author={{ BoleiZhou }} , journal={{IEEE transactions}} 40 6 , year={2017} } @incollection{b36, , title={{Learning support correlation filters for visual tracking}} , author={{ WangmengZuo }} , journal={{IEEE transactions}} 41 , year={2018} }