2 citations · 3 across the 6 of their papers we have counts for
6 papers
Task Integration Distillation for Object Detectors
Hai Su, ZhenWen Jian, Songsen Yu
Knowledge distillation is a widely adopted technique for model lightening. However, the performance of most knowledge distillation methods in the domain of object detection is not…
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis
Hai Su, Jiajun Hu, Songsen Yu
Meta learning is a promising technique for solving few-shot fault prediction problems, which have attracted the attention of many researchers in recent years. Existing meta-learnin…
A Cross-Residual Learning for Image Recognition
Jun Liang, Songsen Yu, Huan Yang
ResNets and its variants play an important role in various fields of image recognition. This paper gives another variant of ResNets, a kind of cross-residual learning networks call…
Steganalysis of Image with Adaptively Parametric Activation
Hai Su, Meiyin Han, Junle Liang +1
Steganalysis as a method to detect whether image contains se-cret message, is a crucial study avoiding the imperils from abus-ing steganography. The point of steganalysis is to det…
A Color Image Steganography Based on Frequency Sub-band Selection
Hai Su, Shan Yang, Shuqing Zhang +1
Color image steganography based on deep learning is the art of hiding information in the color image. Among them, image hiding steganography(hiding image with image) has attracted…
Hard Example Guided Hashing for Image Retrieval
Hai Su, Meiyin Han, Junle Liang +2
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…