5 papers
DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning
Ziqi Gao, Qiufu Li, Linlin Shen
Compared to 2D data, the scale of point cloud data in different domains available for training, is quite limited. Researchers have been trying to combine these data of different do…
BCE vs. CE in Deep Feature Learning
Qiufu Li, Huibin Xiao, Linlin Shen
When training classification models, it expects that the learned features are compact within classes, and can well separate different classes. As the dominant loss function for tra…
Distilled Transformers with Locally Enhanced Global Representations for Face Forgery Detection
Yaning Zhang, Qiufu Li, Zitong Yu +1
Face forgery detection (FFD) is devoted to detecting the authenticity of face images. Although current CNN-based works achieve outstanding performance in FFD, they are susceptible…
WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration
Xinxing Cheng, Xi Jia, Wenqi Lu +4
Deep image registration has demonstrated exceptional accuracy and fast inference. Recent advances have adopted either multiple cascades or pyramid architectures to estimate dense d…
EPL: Empirical Prototype Learning for Deep Face Recognition
Weijia Fan, Jiajun Wen, Xi Jia +3
Prototype learning is widely used in face recognition, which takes the row vectors of coefficient matrix in the last linear layer of the feature extraction model as the prototypes…