Marine Animal Detection and Recognition with Advanced Deep Learning Models
文献类型：会议论文
| 作者 | Peiqin Zhuang; Linjie Xing; Sheng Guo; Yanlin Liu; Yu Qiao |
| 出版日期 | 2017 |
| 会议地点 | 中国 |
| 英文摘要 | Abstract. This paper summarizes SIATMMLAB’s contributions in SEACLEF- 2017 task [1]. We took part in three subtasks with advanced deep learning models. In Automatic Fish Identification and Species Recognition task, we exploited different frameworks to detect the proposal boxes of foreground fish, then fine-tuned a pre-trained neural network to classify the fish. In Automatic Frame-level Salmon Identification task, we utilized the BN-Inception [2] network to identify whether a video frame contains salmons or not. In Marine Animal Recognition task, we examined different neural networks to make classification based on weakly-labelled images. Our methods achieve good results in both task1 and task3. |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/11774]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2017 |
| 推荐引用方式 GB/T 7714 | Peiqin Zhuang,Linjie Xing,Sheng Guo,et al. Marine Animal Detection and Recognition with Advanced Deep Learning Models[C]. 见:. 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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