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cs.CV2023★ 1 cited
Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection
Xin Shen, Praful Agrawal, Zhongwei Cheng
Multi-label classification models have a wide range of applications in E-commerce, including visual-based label predictions and language-based sentiment classifications. A major ch…
cs.CV2023★ 2 cited
Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance
Xin Shen, Xiaonan Zhao, Rui Luo
Fine-grained multi-label classification models have broad applications in e-commerce, such as visual based label predictions ranging from fashion attribute detection to brand recog…
cs.CV2023
FishRecGAN: An End to End GAN Based Network for Fisheye Rectification and Calibration
Xin Shen, Kyungdon Joo, Jean Oh
We propose an end-to-end deep learning approach to rectify fisheye images and simultaneously calibrate camera intrinsic and distortion parameters. Our method consists of two parts:…