2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2025
Overcoming the Identity Mapping Problem in Self-Supervised Hyperspectral Anomaly Detection
Yongchuan Cui, Jinhe Zhang, Peng Liu +2
The surge of deep learning has catalyzed considerable progress in self-supervised Hyperspectral Anomaly Detection (HAD). The core premise for self-supervised HAD is that anomalous…
cs.CV2024
NAS-BNN: Neural Architecture Search for Binary Neural Networks
Zhihao Lin, Yongtao Wang, Jinhe Zhang +2
Binary Neural Networks (BNNs) have gained extensive attention for their superior inferencing efficiency and compression ratio compared to traditional full-precision networks. Howev…
cs.CV2023★ 2 cited
DynamicDet: A Unified Dynamic Architecture for Object Detection
Zhihao Lin, Yongtao Wang, Jinhe Zhang +1
Dynamic neural network is an emerging research topic in deep learning. With adaptive inference, dynamic models can achieve remarkable accuracy and computational efficiency. However…