{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T14:43:15Z","timestamp":1774881795029,"version":"3.50.1"},"reference-count":66,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,23]],"date-time":"2023-07-23T00:00:00Z","timestamp":1690070400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,23]],"date-time":"2023-07-23T00:00:00Z","timestamp":1690070400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,23]]},"DOI":"10.23919\/mva57639.2023.10215935","type":"proceedings-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T17:35:01Z","timestamp":1692725701000},"page":"1-11","source":"Crossref","is-referenced-by-count":18,"title":["MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results"],"prefix":"10.23919","author":[{"given":"Yuki","family":"Kondo","sequence":"first","affiliation":[{"name":"Toyota Motor Corporation"}]},{"given":"Norimichi","family":"Ukita","sequence":"additional","affiliation":[{"name":"Toyota Technological Institute"}]},{"given":"Takayuki","family":"Yamaguchi","sequence":"additional","affiliation":[{"name":"Iwate Agricultural Research Center"}]},{"given":"Hao-Yu","family":"Hou","sequence":"additional","affiliation":[{"name":"National Tsing Hua University"}]},{"given":"Mu-Yi","family":"Shen","sequence":"additional","affiliation":[{"name":"National Tsing Hua University"}]},{"given":"Chia-Chi","family":"Hsu","sequence":"additional","affiliation":[{"name":"National Tsing Hua University"}]},{"given":"En-Ming","family":"Huang","sequence":"additional","affiliation":[{"name":"National Tsing Hua University"}]},{"given":"Yu-Chen","family":"Huang","sequence":"additional","affiliation":[{"name":"National Tsing Hua University"}]},{"given":"Yu-Cheng","family":"Xia","sequence":"additional","affiliation":[{"name":"National Tsing Hua University"}]},{"given":"Chien-Yao","family":"Wang","sequence":"additional","affiliation":[{"name":"Academia Sinica,Institute of Information Science"}]},{"given":"Chun-Yi","family":"Lee","sequence":"additional","affiliation":[{"name":"National Tsing Hua University"}]},{"given":"Da","family":"Huo","sequence":"additional","affiliation":[{"name":"Nagoya University"}]},{"given":"Marc A.","family":"Kastner","sequence":"additional","affiliation":[{"name":"Kyoto University"}]},{"given":"Tingwei","family":"Liu","sequence":"additional","affiliation":[{"name":"Nagoya University"}]},{"given":"Yasutomo","family":"Kawanishi","sequence":"additional","affiliation":[{"name":"RIKEN"}]},{"given":"Takatsugu","family":"Hirayama","sequence":"additional","affiliation":[{"name":"University of Human Environments"}]},{"given":"Takahiro","family":"Komamizu","sequence":"additional","affiliation":[{"name":"Nagoya University"}]},{"given":"Ichiro","family":"Ide","sequence":"additional","affiliation":[{"name":"Nagoya University"}]},{"given":"Yosuke","family":"Shinya","sequence":"additional","affiliation":[{"name":"Independent Researcher"}]},{"given":"Xinyao","family":"Liu","sequence":"additional","affiliation":[{"name":"Xi&#x2019;an Jiaotong University"}]},{"given":"Guang","family":"Liang","sequence":"additional","affiliation":[{"name":"Xi&#x2019;an Jiaotong University"}]},{"given":"Syusuke","family":"Yasui","sequence":"additional","affiliation":[{"name":"Space Shift Inc."}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/3189691"},{"key":"ref57","article-title":"USB: Universal-scale object detection benchmark","author":"shinya","year":"2022","journal-title":"BMVC"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref56","article-title":"COCO API","author":"lin","year":"0"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.3005231"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.06.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3532213.3532278"},{"key":"ref58","article-title":"Generalized Focal Loss: Learning qualified and distributed bounding boxes for dense object detection","author":"li","year":"2020","journal-title":"NeurIPS"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref11","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"ECCV"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.23919\/MVA57639.2023.10216132"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01855"},{"key":"ref54","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"MICCAI"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093394"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9413340"},{"key":"ref19","article-title":"isaid: A large-scale dataset for instance segmentation in aerial images","author":"waqas zamir","year":"2019","journal-title":"cvprw"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989163"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.23919\/MVA57639.2023.10216093"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01008"},{"key":"ref46","article-title":"Simple copypaste is a strong data augmentation method for instance segmentation","author":"ghiasi","year":"2021","journal-title":"CVPR"},{"key":"ref45","article-title":"A normalized gaussian wasserstein distance for tiny object detection","author":"wang","year":"2021"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2021.104117"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9897990"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1207\/s15327957pspr0203_4"},{"key":"ref41","article-title":"MMDetection: Open mmlab detection toolbox and benchmark","author":"chen","year":"2019"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00644"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.23919\/MVA57639.2023.10215748"},{"key":"ref49","year":"2021","journal-title":"Birds flying dataset"},{"key":"ref8","article-title":"End-to-end object detection with transformers","author":"carion","year":"2020","journal-title":"ECCV"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01385"},{"key":"ref4","article-title":"Faster RCNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"NIPS"},{"key":"ref3","article-title":"Codalab competitions: An open source platform to organize scientific challenges","author":"pavao","year":"2022","journal-title":"Technical Report"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00667"},{"key":"ref5","article-title":"YOLO by Ultralytics","author":"jocher","year":"2023"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0564-1"},{"key":"ref34","article-title":"Airbirds: A large-scale challenging dataset for bird strike prevention in real-world airports","author":"sun","year":"2022","journal-title":"ACCV"},{"key":"ref37","article-title":"Traffic-sign detection and classification in thewild","author":"zhu","year":"2016","journal-title":"CVPR"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.128"},{"key":"ref31","first-page":"200097","article-title":"Distress feeding of depredatory birds in sunflower and sorghum protected by bioacoustics","author":"mahesh","year":"2017","journal-title":"BioRxiv"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1115\/IMECE2012-89528"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7351607"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1002\/we.2135"},{"key":"ref2","article-title":"Baseline code for SOD4SB by IIM-TTIJ","author":"zhao","year":"2023"},{"key":"ref1","article-title":"MVA2023 Small Object Detection Challenge for Spotting Birds","author":"kondo","year":"2023"},{"key":"ref39","article-title":"Objects as points","author":"zhou","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54193-8_14"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/MVA51890.2021.9511386"},{"key":"ref23","article-title":"Widerperson: A diverse dataset for dense pedestrian detection in the wild","author":"zhang","year":"2019","journal-title":"IEEE Transactions on Multimedia"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5344\/ajev.1981.32.1.1"},{"key":"ref25","article-title":"Automated counting wild birds on UAV image using deep learning","author":"ogawa","year":"2021","journal-title":"IEEE International Geoscience and Remote Sensing Symposium IGARSS-02"},{"key":"ref20","article-title":"Stdnet: A convnet for small target detection","author":"bosquet","year":"2018","journal-title":"BMVC"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9413127"},{"key":"ref63","article-title":"A guide to image and video based small object detection using deep learning: Case study of maritime surveillance","author":"rekavandi","year":"2022"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS52988.2021.9663844"},{"key":"ref66","article-title":"Tracking small and fast moving objects: A benchmark","author":"zhang","year":"2022","journal-title":"ACCV"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68238-5_23"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3239529"},{"key":"ref28","author":"hedayati","year":"2015","journal-title":"Bird Strike An Experimental Theoretical and Numerical Investigation"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.2307\/2402325"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1111\/j.1474-919X.2006.00536.x"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00841"},{"key":"ref62","article-title":"mixup: Beyond empirical risk minimization","author":"zhang","year":"2017"},{"key":"ref61","article-title":"Scaledyolov4: Scaling cross stage partial network","author":"wang","year":"2021","journal-title":"CVPR"}],"event":{"name":"2023 18th International Conference on Machine Vision and Applications (MVA)","location":"Hamamatsu, Japan","start":{"date-parts":[[2023,7,23]]},"end":{"date-parts":[[2023,7,25]]}},"container-title":["2023 18th International Conference on Machine Vision and Applications (MVA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10215492\/10215533\/10215935.pdf?arnumber=10215935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T22:24:24Z","timestamp":1692829464000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10215935\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,23]]},"references-count":66,"URL":"https:\/\/doi.org\/10.23919\/mva57639.2023.10215935","relation":{},"subject":[],"published":{"date-parts":[[2023,7,23]]}}}