Accurate Leukocyte Detection Based on Deformable-DETR and Multi-Level Feature Fusion for Aiding Diagnosis of Blood Diseases

1 code implementation • 1 Jan 2024 • Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Xianjun Fu, Yuxing Dai, Feiwei Qin, Yong Peng, Yu Gao

To address these issues, this paper proposes an innovative method of leukocyte detection: the Multi-level Feature Fusion and Deformable Self-attention DETR (MFDS-DETR).

PA-GM: Position-Aware Learning of Embedding Networks for Deep Graph Matching

no code implementations • 5 Jan 2023 • Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang

In this paper, we introduce a novel end-to-end neural network that can map the linear assignment problem into a high-dimensional space augmented with node-level relative position information, which is crucial for improving the method's performance for similar content matching.

Combinatorial Optimization Graph Matching +1