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The 1st Tiny Object Detection Challenge:Methods and Results [article]

Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu (+13 others)
2020 arXiv   pre-print
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny  ...  Around 36 participating teams from the globe competed inthe 1st TOD Challenge.  ...  To encourage researchers to develop better methods to solve the tiny object detection problem, we held the first Tiny Object Detection Challenge.  ... 
arXiv:2009.07506v2 fatcat:ruqyphe2xbckfndw7podr2ax34

The 2nd Anti-UAV Workshop Challenge: Methods and Results [article]

Jian Zhao, Gang Wang, Jianan Li, Lei Jin, Nana Fan, Min Wang, Xiaojuan Wang, Ting Yong, Yafeng Deng, Yandong Guo, Shiming Ge, Guodong Guo
2021 arXiv   pre-print
The 2nd Anti-UAV Workshop & Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking.  ...  The Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released. There are two subsets in the dataset, i.e., the test-dev subset and test-challenge subset.  ...  In addition, the proposed workshop also aims at tiny object detection and tracking in the wild which is more challenging, more practical, and more useful for real applications.  ... 
arXiv:2108.09909v3 fatcat:nhb6kbkzkrat7mlgmrfsuxu5sy

WIDER Face and Pedestrian Challenge 2018: Methods and Results [article]

Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jianfeng Wang, Zuoxin Li, Ye Yuan (+35 others)
2019 arXiv   pre-print
The challenge focuses on the problem of precise localization of human faces and bodies, and accurate association of identities.  ...  This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian.  ...  We thank the WIDER Challenge 2018 sponsors: SenseTime Group Ltd. and Amazon Rekognition.  ... 
arXiv:1902.06854v1 fatcat:t6ip77lkd5eq5aobrbwrfaizmu

1st Place Solutions for UG2+ Challenge 2021 – (Semi-)supervised Face detection in the low light condition [article]

Pengcheng Wang, Lingqiao Ji, Zhilong Ji, Yuan Gao, Xiao Liu
2021 arXiv   pre-print
By conducting several experiments with popular image enhancement methods and image transfer methods, we pulled the low light image and the normal image to a more closer domain.  ...  We also adapt several popular object detection frameworks, e.g., DetectoRS, Cascade-RCNN, and large backbone like Swin-transformer.  ...  After that, we evaluate the performance of the different object detection frameworks [3, 11, 5] . All the experiment results and conclusions are subsequently given.  ... 
arXiv:2107.00818v1 fatcat:oefndur2vjg27aqhhnxclcuvmy

Deep Impact of Random Amplification and Library Construction Methods on Viral Metagenomics Results

Béatrice Regnault, Thomas Bigot, Laurence Ma, Philippe Pérot, Sarah Temmam, Marc Eloit
2021 Viruses  
and library construction method on virus recovery.  ...  Clinical metagenomics is a broad-range agnostic detection method of pathogens, including novel microorganisms.  ...  Acknowledgments: FDA reference virus stocks submitted to WHO for endorsement as WHO 1st international virus reference virus standards for adventitious virus detection in biologicals products by next-generation  ... 
doi:10.3390/v13020253 pmid:33562285 fatcat:io3qxm6ozza2lcr7hkkgo6eui4

Deep learning approaches for challenging species and gender identification of mosquito vectors

Veerayuth Kittichai, Theerakamol Pengsakul, Kemmapon Chumchuen, Yudthana Samung, Patchara Sriwichai, Natthaphop Phatthamolrat, Teerawat Tongloy, Komgrit Jaksukam, Santhad Chuwongin, Siridech Boonsang
2021 Scientific Reports  
Nevertheless, the relatively low detection rates for the two species were likely a result of the limited number of wild-caught biological samples available.  ...  The results indicated that the concatenated two YOLO v3 model exhibited the optimal performance in identifying the mosquitoes, as the mosquitoes were relatively small objects compared with the large proportional  ...  In addition, we thank the College of Advanced Manufacturing Innovation, King Mongkut's Institute of Technology, Ladkrabang, for providing the deep learning platform and software to support the research  ... 
doi:10.1038/s41598-021-84219-4 pmid:33649429 pmcid:PMC7921658 fatcat:bp7d4lck4rdqll4vt2tuvcd6dm

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images [article]

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Fengbin Lin, Jaemin Son, Sunho Kim, Gwenole Quellec, Sarah Matta, Sharath M Shankaranarayana, Yi-Ting Chen (+16 others)
2022 arXiv   pre-print
This paper introduces the challenge, dataset, and evaluation methods, as well as summarizes the methods and analyzes the results of the participating teams of each task.  ...  During the ADAM challenge, 610 results were submitted for online evaluation, and finally, 11 teams participated in the onsite challenge.  ...  challenge methods on detection and segmentation of optic disc task.  ... 
arXiv:2202.07983v2 fatcat:6un3hmcfabb7lcayf77xu2vycy

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge [article]

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey Edlund, Muhammad Fadhil Ginting, Kamak Ebadi (+60 others)
2021 arXiv   pre-print
We discuss the specific results and lessons learned from fielding this solution in the challenging courses of the DARPA Subterranean Challenge competition.  ...  Specifically, it presents the techniques utilized within the Tunnel (2019) and Urban (2020) competitions, where CoSTAR achieved 2nd and 1st place, respectively.  ...  We would like to thank the rest of Team CoSTAR, our collaborators, and advisors for their support, fruitful discussions and their contributions to the project.  ... 
arXiv:2103.11470v4 fatcat:rq2wgczzl5clphzgujjdbd3ywm

Managing RFID Data: Challenges, Opportunities and Solutions

Lei Xie, Yafeng Yin, Athanasios V. Vasilakos, Sanglu Lu
2014 IEEE Communications Surveys and Tutorials  
It becomes a great challenge in the information era to effectively understand human behavior, mobility and activity through the perceived RFID data.  ...  Focusing on RFID data management, this article provides an overview of current challenges, emerging opportunities and recent progresses in RFID.  ...  A server gathers data from the readers, executes a localization algorithm and notifies the result to the object.  ... 
doi:10.1109/surv.2014.022614.00143 fatcat:dmqiy5uutne53iqljc5pgobd6i

Open challenges for data stream mining research

Georg Krempl, Myra Spiliopoulou, Jerzy Stefanowski, Indre Žliobaite, Dariusz Brzeziński, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi
2014 SIGKDD Explorations  
The resulting analysis is illustrated by practical applications and provides general suggestions concerning lines of future research in data stream mining.  ...  The identified challenges cover the full cycle of knowledge discovery and involve such problems as: protecting data privacy, dealing with legacy systems, handling incomplete and delayed information, analysis  ...  on the challenges in stream mining.  ... 
doi:10.1145/2674026.2674028 fatcat:y3bozzeohveibgxb5wmiwfcogm

Trends, Challenges and Adopted Strategies in RoboCup@Home [article]

Mauricio Matamoros and Viktor Seib and Dietrich Paulus
2019 arXiv   pre-print
Scientific competitions are crucial in the field of service robotics. They foster knowledge exchange and allow teams to test their research in unstandardized scenarios and compare result.  ...  In this paper, we aim to tackle this problems by presenting a summary of the trending solutions and approaches used in RoboCup@Home, and discussing the attained achievements and challenges to overcome  ...  These new challenges include describing untrained objects, guiding people, avoiding tiny and light-reflecting objects, pouring, etc. However, the newly introduced challenges were barely addressed.  ... 
arXiv:1903.02516v1 fatcat:a2dv4ps5wzg5dafmfslefwkxfi

Computational brain connectivity mapping: A core health and scientific challenge

Rachid Deriche
2016 Medical Image Analysis  
To take up this great challenge of modern science and to solve the limited view of the brain provided just by one imaging modality, this article advocates the idea developed in my research group of a global  ...  contribute to achieve new frontiers for identifying and characterizing structural and functional brain connectivities and to provide a detailed mapping of the brain connectivity, both in space and time  ...  start onSept. 1st, 2016.)  ... 
doi:10.1016/j.media.2016.06.003 pmid:27338172 fatcat:auo2ug5ixrhg5byaohbty54may

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment [article]

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao (+16 others)
2022 arXiv   pre-print
This article summarizes the methods of some of the finalists and analyzes their results.  ...  Over 1,300 international competitors joined the REFUGE2 challenge, 134 teams submitted more than 3,000 valid preliminary results, and 22 teams reached the final.  ...  , and object detection tasks.  ... 
arXiv:2202.08994v2 fatcat:os4kkur7vvasbavvnjj7z5mlmu

PuzzLing Machines: A Challenge on Learning From Small Data [article]

Gözde Gül Şahin, Yova Kementchedjhieva, Phillip Rust, Iryna Gurevych
2020 arXiv   pre-print
We show that both simple statistical algorithms and state-of-the-art deep neural models perform inadequately on this challenge, as expected.  ...  These puzzles are carefully designed to contain only the minimal amount of parallel text necessary to deduce the form of unseen expressions.  ...  We thank Adam Lopez and Ilia Kuznetsov for providing feedback on early drafts of the paper. We thank the area chairs and the senior area chair, whose comments helped us improve the paper.  ... 
arXiv:2004.13161v1 fatcat:kxjivz4pjjfapeqe4vooun27hq

Transsphenoidal surgery in Cushing disease: The challenging microadenoma (Local experience)

Wael K. Zakaria, Ahmed N. Taha
2018 Romanian Neurosurgery  
Object: to evaluate the challenge of diagnosis and trans-sphenoid surgery for ACTH pituitary microadenomas.  ...  Results: Among the 21 patients; 14 were female and 7 weremale with age ranging from 21 to 44 years.  ...  Preoperative detection of the ACTH secreting adenoma is crucial for the surgical outcome, achievement of cure and prevention of surgically induced hypopituitarism.⁸'¹⁰'¹⁵'¹⁶'¹⁷ Our 1st problem was with  ... 
doi:10.2478/romneu-2018-0014 fatcat:2c2bm6rzkfckbl6xdayqvnzmsy
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