Linjie Xing

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Text-independent writer identification is challenging due to the huge variation of written contents and the ambiguous written styles of different writers. This paper proposes DeepWriter, a deep multi-stream CNN to learn deep powerful representation for recognizing writers. DeepWriter takes local handwritten patches as input and is trained with softmax(More)
This paper summarizes SIATMMLAB’s contributions in SEACLEF2017 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(More)
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