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SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems [article]

Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof
2021 arXiv   pre-print
We demonstrate the effectiveness of using SIMPL synthetic imagery for training DNNs in zero-shot scenarios where no real imagery is available; and few-shot learning scenarios, where limited real-world  ...  In this work we present a simple approach - termed Synthetic object IMPLantation (SIMPL) - to easily and rapidly generate large quantities of synthetic overhead training data for custom target objects.  ...  CONCLUSIONS In this work we investigated the use of synthetic overhead imagery as a general approach to address zeroshot and few-shot object detection problems.  ... 
arXiv:2106.15681v1 fatcat:lsedi5g24ncc3hrgluvs7ittja

Synthetic Data and Hierarchical Object Detection in Overhead Imagery [article]

Nathan Clement, Alan Schoen, Arnold Boedihardjo, Andrew Jenkins
2021 arXiv   pre-print
To treat this problem, we survey and develop novel synthetic data generation and augmentation techniques for enhancing low/zero-sample learning in satellite imagery.  ...  In addition to extending synthetic data generation approaches, we propose a hierarchical detection approach to improve the utility of synthetic training samples.  ...  Low-shot and zero-shot learning The problems of low-shot learning (few training examples of target class) and zero-shot learning (no training examples of target class) have spawned a very active body of  ... 
arXiv:2102.00103v1 fatcat:fdtuflqxx5f6lotaptn5muzpx4

RarePlanes: Synthetic Data Takes Flight [article]

Jacob Shermeyer, Thomas Hossler, Adam Van Etten, Daniel Hogan, Ryan Lewis, Daeil Kim
2020 arXiv   pre-print
The RarePlanes dataset specifically focuses on the value of synthetic data to aid computer vision algorithms in their ability to automatically detect aircraft and their attributes in satellite imagery.  ...  RarePlanes is a unique open-source machine learning dataset that incorporates both real and synthetically generated satellite imagery.  ...  We would especially like to thank Danny Gillies and Natasha Ruiz for their devoted help.  ... 
arXiv:2006.02963v2 fatcat:x5eq2dvmqvhuli4qouwf47hvge

Few-Shot Learning for Post-Earthquake Urban Damage Detection

Eftychia Koukouraki, Leonardo Vanneschi, Marco Painho
2021 Remote Sensing  
Taking into consideration the recent developments in the fields of Machine Learning and Computer Vision, this study investigates and employs several Few-Shot Learning (FSL) strategies in order to address  ...  The use of remotely sensed imagery is popular in damage assessment applications; however, it requires a considerable amount of labeled data, which are not always easy to obtain.  ...  Review and analysis of zero, one and few shot learning approaches.  ... 
doi:10.3390/rs14010040 fatcat:jeombwrohzfjpiserludgp2lti

Surface and buried landmine scene generation and validation using the digital imaging and remote sensing image generation model

Erin D. Peterson, Scott D. Brown, Timothy J. Hattenberger, John R. Schott, Sylvia S. Shen, Paul E. Lewis
2004 Imaging Spectrometry X  
This paper discusses the development of synthetic data using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model.  ...  This paper discusses landmine detection phenomenology, describes the steps taken to build the scene, modeling methods utilized to overcome input parameter limitations, and compares the synthetic scene  ...  By limiting this discussion of the countermining field to passive electro-optical detection techniques, Synthetic Image Generation (SIG) may prove to be a viable solution to the problem at hand.  ... 
doi:10.1117/12.561264 fatcat:ndfrxlkja5hwbb2by5wetftkhy

A binaural advantage in the subjective modulation transfer function with simple impulse responses

Eric R. Thompson, Torsten Dau
2008 Journal of the Acoustical Society of America  
are generated and detected.  ...  In general bats use ultrasound to determine their surroundings and to detect flying insects.  ...  A simple scheme has been developed based on labeling one point in time for each of a few vowels in a read statement.  ... 
doi:10.1121/1.2933699 fatcat:4nc5pg4ysbhgrjcatwhr7fh77q

Extracting Semantics from Multimedia Content: Challenges and Solutions [chapter]

Lexing Xie, Rong Yan
2008 Signals and Communication Technology  
Our goal is to present the current challenges and solutions from a few different perspectives and cover a sample of related work.  ...  correspondence across modalities, learning structured (generative) models to account for natural data dependency or model hidden topics, handling rare classes, leveraging unlabeled data, scaling to large  ...  To date, there have been a few attempts to address the rare class problems in several applications, such as fraud detection [19] , network intrusion, text categorization and web mining [49] .  ... 
doi:10.1007/978-0-387-76569-3_2 fatcat:jul6fw7esfaurct6erjnvpcq6q

Development of a sky imaging system for short-term solar power forecasting

B. Urquhart, B. Kurtz, E. Dahlin, M. Ghonima, J. E. Shields, J. Kleissl
2015 Atmospheric Measurement Techniques  
Noise for HDR imagery is shown to be very close to the fundamental shot noise limit. The complication of directly imaging the sun and the impact on solar power forecasting is also discussed.  ...  of providing hemispherical sky imagery from the circumsolar region to the horizon at a high spatial, temporal, and radiometric resolution.  ...  Fung (1) and Piovano (2).  ... 
doi:10.5194/amt-8-875-2015 fatcat:rg57biorwrdq7khsnxhf2tsvey

Development of a sky imaging system for short-term solar power forecasting

B. Urquhart, B. Kurtz, E. Dahlin, M. Ghonima, J. E. Shields, J. Kleissl
2014 Atmospheric Measurement Techniques Discussions  
Noise for HDR imagery is shown to be very close to the fundamental shot noise limit. The complication of directly imaging the sun and the impact on solar power forecasting is also discussed.  ...  hemispherical sky imagery from the circumsolar region to the horizon at a high spatial, temporal, and radiometric resolution.  ...  Fung (1) and Piovano (2).  ... 
doi:10.5194/amtd-7-4859-2014 fatcat:jav5zugjfzdd5m3bchzqo2j2hm

A Novel Rebroadcast Technique for Reducing Routing Overhead In Mobile Ad Hoc Networks

Vinayak T Patil
2013 IOSR Journal of Computer Engineering  
the destination, and thus it causes the broadcast storm problem.  ...  This feature leads to frequent path failures and route reconstructions, which causes an increase in the routing control overhead. The overhead of a route discovery cannot be neglected.  ...  Acknowledgements We tender our heartily gratitude to our parents, family members and friends. Acknowledgments Sushil Kumar Singh would like to thanks his guide Prof.  ... 
doi:10.9790/0661-1260109 fatcat:jundvgfvpjcdpmtloz2z2w6ige

Next-generation content representation, creation, and searching for new-media applications in education

Shih-Fu Chang, A. Eleftheriadis, R. McClintock
1998 Proceedings of the IEEE  
We discuss the state of the art and present next-generation techniques for content representation, searching, creation, and editing.  ...  It thus brings the tasks of content creation and searching much closer to actual users and enables them to be active producers of audio-visual information rather than passive recipients.  ...  ACKNOWLEDGMENT The authors wish to thank the many graduate students who have contributed a great deal to the multimedia searching and editing work described in this paper over a period of many years, including  ... 
doi:10.1109/5.664278 fatcat:wr3xssvpefhavap5uu2rpggabe

Small-scale anomaly detection in panoramic imaging using neural models of low-level vision

Matthew C. Casey, Duncan L. Hickman, Athanasios Pavlou, James R. E. Sadler, John Tudor Thomas, Daniel D. Desjardins, Jeff J. Güell, Kenneth L. Bernier
2011 Display Technologies and Applications for Defense, Security, and Avionics V; and Enhanced and Synthetic Vision 2011  
What makes this approach interesting is the ability of the competition between neurons to automatically filter noise, yet with the capability of generalizing the desired shape and scale.  ...  The neural approach consists of a mosaic of topographic maps that are each trained using competitive Hebbian learning to rapidly detect image features of a pre-defined shape and scale.  ...  A simple one-shot training scheme can be used to overcome this and hence allow us to scale up the maps to avoid having map boundaries.  ... 
doi:10.1117/12.883799 fatcat:5kniyghqhfguxbpf3nwyli7fvq

When Designers Ask, "What If?"

E. Scott Denison
2012 World Future Review  
These scenarios can bring cultural legibility to representations of the future and thereby provoke discussion and debate, challenge conventional thinking, and encourage individual foresight and participation  ...  form of design research, in a construct with different rules and possibilities, to experiment with the impact of technology and design on society, government, culture, and individuals.  ...  These virtual worlds and their "diegetic prototypes" (Kirby 2010) were subsequently visualized using computer generated models and rendered imagery to impart a sense of realism to depict tangible artifacts  ... 
doi:10.1177/194675671200400207 fatcat:q2cflwvbwrb63cov24mnjadjne

Automatic Face Recognition from Video [article]

Ognjen Arandjelovic
2015 arXiv   pre-print
The Generic Shape-Illumination Manifold is evaluated on a large data corpus acquired in real-world conditions and its performance is shown to greatly exceed that of state-of-the-art methods in the literature  ...  The objective of this work is to automatically recognize faces from video sequences in a realistic, unconstrained setup in which illumination conditions are extreme and greatly changing, viewpoint and  ...  , few authors addressing it in a setup similar to ours.  ... 
arXiv:1504.05308v1 fatcat:b3yqebgqk5dnnof2eyiq5zagxq

Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization [article]

John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt
2021 arXiv   pre-print
, satellite imagery classification in FMoW-WILDS, and wildlife classification in iWildCam-WILDS.  ...  To complete the picture, we also investigate cases where the correlation is weaker, for instance some synthetic distribution shifts from CIFAR-10-C and the tissue classification dataset Camelyon17-WILDS  ...  Generally, we find that, compared to zero-shot prediction, these techniques deviate less from the basic linear trend.  ... 
arXiv:2107.04649v2 fatcat:ty44g72ypvdrzbhehftgpsdrja
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