1 / 2019-04-26 19:14:02
Automatic Image Annotation with deep model trained by dynamic loss function
Image annotation,,Multi label classification,Deep learning,Weakly-labelling,Class-imbalance
摘要待审
Ze Si / USTB
Fu Dongmei / USTB
Liu Yang / USTB
Automatic Image Annotation (AIA) is crucial for the establishment of image retrieval system. In this paper deep model is used for AIA task. Deep learning (DL) showed great performance in different tasks, but there are two problems called class-imbalance and weak-labeling in AIA task seriously affect the training process of deep model. Given these problems, we draw on the idea of reinforcement learning and propose dynamic loss function for model's training in this paper. An improved DenseNet trained by dynamic loss function shows superior performance in AIA task, we evaluate our method on three standard datasets, the competitive result compared with other methods shows the effectiveness of our method.
重要日期
  • 会议日期

    10月26日

    2019

    10月27日

    2019

  • 04月30日 2019

    初稿截稿日期

  • 06月20日 2019

    初稿录用通知日期

  • 10月27日 2019

    注册截止日期

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