346 citations · 1.4k across the 42 of their papers we have counts for
65 papers
Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training
Xiao-Ming Wu, Dian Zheng, Zuhao Liu +1
Binarization of neural networks is a dominant paradigm in neural networks compression. The pioneering work BinaryConnect uses Straight Through Estimator (STE) to mimic the gradient…
PSLT: A Light-weight Vision Transformer with Ladder Self-Attention and Progressive Shift
Gaojie Wu, Wei-Shi Zheng, Yutong Lu +1
Vision Transformer (ViT) has shown great potential for various visual tasks due to its ability to model long-range dependency. However, ViT requires a large amount of computing res…
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
Yang Yang, Zhiying Cui, Junjie Xu +3
Deep learning has shown its human-level performance in various applications. However, current deep learning models are characterised by catastrophic forgetting of old knowledge whe…
Cross-Camera Trajectories Help Person Retrieval in a Camera Network
Xin Zhang, Xiaohua Xie, Jianhuang Lai +1
We are concerned with retrieving a query person from multiple videos captured by a non-overlapping camera network. Existing methods often rely on purely visual matching or consider…
Letter-level Online Writer Identification
Zelin Chen, Hong-Xing Yu, Ancong Wu +1
Writer identification (writer-id), an important field in biometrics, aims to identify a writer by their handwriting. Identification in existing writer-id studies requires a complet…
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images
Jia-Xin Zhuang, Wanying Tao, Jianfei Xing +3
Deep learning models have shown their superior performance in various vision tasks. However, the lack of precisely interpreting kernels in convolutional neural networks (CNNs) is b…