no code implementations • 18th International Conference on Machine Vision and Applications (MVA) 2023 • Da Huo, Marc A. Kastner, TingWei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide
Object detection is the task of detecting objects in an image.
Ranked #4 on Small Object Detection on SOD4SB Public Test (using extra training data)
1 code implementation • 18 Jul 2023 • Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi, Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee, Da Huo, Marc A. Kastner, TingWei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, Yosuke Shinya, Xinyao Liu, Guang Liang, Syusuke Yasui
Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a challenging task due to the noisy, blurred, and less-informative image appearances of small objects.
Ranked #2 on Small Object Detection on SOD4SB Public Test (using extra training data)
no code implementations • 16 Jun 2023 • TingWei Liu, Peizhao Li, Hongfu Liu
To address this gap, we propose a notion edge balance to measure the proportion of edges connecting different demographic groups in clusters.
1 code implementation • 12 Apr 2023 • Wei Ji, Jingjing Li, Qi Bi, TingWei Liu, Wenbo Li, Li Cheng
Recently, Meta AI Research approaches a general, promptable Segment Anything Model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B).