One point is all you need for weakly supervised object detection

Shiwei Zhang, Zhengzheng Wang, Wei Ke

Abstract: Highlights•We proposed a new annotation method for weakly supervised object detection.•This annotation method significantly reduce costs while maintain the performance.•A novel framework is proposed to achieve a detector with our annotation method.•Experiments are conducted to verify the effectiveness and robustness of our work.