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Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Then we review their recent applications in medical image analysis and point out limitations, with the goal to light some potential directions in medical image analysis.
Fine-Grained Histopathological Image Analysis via Robust Segmentation and Large-Scale Retrieval
Computer-aided diagnosis of medical images requires thorough analysis of image details.
A Color Image Steganography Based on Frequency Sub-band Selection
Color image steganography based on deep learning is the art of hiding information in the color image.
Hard Example Guided Hashing for Image Retrieval
Compared with the traditional hashing methods, deep hashing methods generate hash codes with rich semantic information and greatly improves the performances in the image retrieval field.
Steganalysis of Image with Adaptively Parametric Activation
In this paper, to enhance embed-ding signals, we study the insufficiencies of activation function, filters and loss function from the aspects of reduce embedding signal loss and enhance embedding signal capture ability.
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis
Meta learning is a promising technique for solving few-shot fault prediction problems, which have attracted the attention of many researchers in recent years.
Task Integration Distillation for Object Detectors
Therefore, we propose a knowledge distillation method that addresses both the classification and regression tasks, incorporating a task significance strategy.
