Winners of the Small Object Detection Challenge for Spotting Birds 2023

The Small Object Detection Challenge for Spotting Birds 2023 had 223 participants and 1045 submissions to CodaLab. The following are the winners who performed remarkably among them.
Congratulations! 🎉

Research Category

Best Solution Award (1st)

Elsa Lab Team (Team1)

"Ensemble Fusion for Small Object Detection"
Hao-Yu Hou¹, Mu-Yi Shen¹, Chia-Chi Hsu¹, En-Ming Huang¹, Yu-Chen Huang¹, Yu-Cheng Xia¹, Chien-Yao Wang², Chun-Yi Lee¹
¹Department of Computer Science, National Tsing Hua University, Taiwan.
²Institute of Information Science, Academia Sinica, Taiwan.

Runner-Up Solution Award (2nd)

Happy Day

"Small Object Detection for Birds with Swin Transformer"
Da Huo¹, Marc A. Kastner², Tingwei Liu¹, Yasutomo Kawanishi^{3, 1}, Takatsugu Hirayama^{4, 1}, Takahiro Komamizu¹, Ichiro Ide¹
¹Nagoya University, Japan.
²Kyoto University, Japan.
³GRP, RIKEN, Japan.
⁴University of Human Environments, Japan

Honorable Mention Solution Award (3rd)

Yosuke Shinya

"BandRe: Rethinking Band-Pass Filters for Scale-Wise Object Detection Evaluation"
Yosuke Shinya¹
¹Independent researcher, Japan.

4th place in Research category

DL Team

"Method to Achieve High Performance for Small Object Detection"
Xinyao Liu¹, Guang Liang¹
¹Xi’an Jiaotong University, China.

5th place in Research category

Syusuke Yasui

"More easy framework of small object detection"
Syusuke Yasui¹
¹Space Shift Inc., Japan.

Development Category

Winner Award (1st)

Kosuke Shigematsu

"Enhanced YOLOv7 for Small Object Detection: Increasing Resolution, Test-time Augmentation and Weighted Boxes Fusion"
Kosuke Shigematsu¹
¹National Institute of Technology, Oita College, Japan.