特征融合与分割引导的弱监督目标检测.pdf

文档介绍：第 21 卷 第 1 期 软 件 导 刊 Vol. 21 No. 文章编号： （ ）
Feature Fusion and Segmentation Guided Weakly Supervised Object Detection
CHAI Wen-guang CAI Chun-bo
，
510006
（School of Computer Science，Guangdong University of Technology，Guangzhou ，China）
The region proposal generation method ie PRN based on convolutional neural networks CNNs is trained through in⁃
Abstract： （ ， ） （ ）
stance-level annotations and is also an important part of the current fully supervised target detection FSOD . Because instance-level
， （ ）
annotations are time-consuming and labor-intensive while image-level annotations are easier to collect so weakly supervised object
， ，
detection WSOD that only uses image-level annotations has attracted the attention of many researchers. The current WSOD re