MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results-Reference-Cited by-同舟云学术

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MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

Published:2023-07-23 Issue: Volume: Page:
ISSN:
Container-title:2023 18th International Conference on Machine Vision and Applications (MVA)
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Author:

Kondo Yuki¹,Ukita Norimichi²,Yamaguchi Takayuki³,Hou Hao-Yu⁴,Shen Mu-Yi⁴,Hsu Chia-Chi⁴,Huang En-Ming⁴,Huang Yu-Chen⁴,Xia Yu-Cheng⁴,Wang Chien-Yao⁵,Lee Chun-Yi⁴,Huo Da⁶,Kastner Marc A.⁷,Liu Tingwei⁶,Kawanishi Yasutomo⁸,Hirayama Takatsugu⁹,Komamizu Takahiro⁶,Ide Ichiro⁶,Shinya Yosuke¹⁰,Liu Xinyao¹¹,Liang Guang¹¹,Yasui Syusuke¹²

Affiliation:

1. Toyota Motor Corporation

2. Toyota Technological Institute

3. Iwate Agricultural Research Center

4. National Tsing Hua University

5. Academia Sinica,Institute of Information Science

6. Nagoya University

7. Kyoto University

8. RIKEN

9. University of Human Environments

10. Independent Researcher

11. Xi’an Jiaotong University

12. Space Shift Inc.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10215492/10215533/10215935.pdf?arnumber=10215935

Reference66 articles.

1. An Evaluation of Deep Learning Methods for Small Object Detection

2. USB: Universal-scale object detection benchmark;shinya;BMVC,2022

3. The Pascal Visual Object Classes (VOC) Challenge

4. COCO API;lin,0

5. A Survey of the Four Pillars for Small Object Detection: Multiscale Representation, Contextual Information, Super-Resolution, and Region Proposal

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2. Infant Gait Modifications: Integration of Computer Vision with Human Annotation Provides Accurate Step Classification and Location as Infants Navigate Varied Terrain;2024 IEEE International Conference on Development and Learning (ICDL);2024-05-20

3. Segmenting Remote Sensing Anomalies at Instance Level via Anomaly Map-Guided Adaptation;IEEE Transactions on Geoscience and Remote Sensing;2024

4. BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation;2023 18th International Conference on Machine Vision and Applications (MVA);2023-07-23

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