INTRODUCTION
Object detection is one of the most important but fundamental tasks in the field of computer vision. The goal of the object detection is to locate objects of interest and recognize them. Some feature work is shown below.
REGULAR OBJECT DETECTION
Lin, Tsung-Yi, et al. “Feature pyramid networks for object detection.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.
Liu, Wei, et al. “Ssd: Single shot multibox detector.” European conference on computer vision. Springer, Cham, 2016.
SCENE TEXT DETECTION
Deng, Dan, et al. “Pixellink: Detecting scene text via instance segmentation.” Thirty-second AAAI conference on artificial intelligence. 2018.
Shi, Baoguang, Xiang Bai, and Serge Belongie. “Detecting oriented text in natural images by linking segments.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017.
Baek, Youngmin, et al. “Character region awareness for text detection.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019.