51 citations
- Chinese Academy of SciencesCN8 papers
- Beijing Institute of TechnologyCN5 papers
- University of Science and Technology of ChinaCN5 papers
- Beijing Academy of Quantum Information SciencesCN3 papers
- Peking UniversityCN3 papers
- Tsinghua UniversityCN3 papers
- University of Chinese Academy of SciencesCN3 papers
- Argonne National LaboratoryUS2 papers
- Beijing Normal UniversityCN2 papers
- Beijing University of TechnologyCN2 papers
- California Southern UniversityUS2 papers
- Institute of Semiconductor PhysicsRU2 papers
7 papers · 1 filter
MolCLIP: A Molecular-Auxiliary CLIP Framework for Identifying Drug Mechanism of Action Based on Time-Lapsed Mitochondrial Images
Fengqian Pang, Chunyue Lei, Hongfei Zhao +4
Drug Mechanism of Action (MoA) mainly investigates how drug molecules interact with cells, which is crucial for drug discovery and clinical application. Recently, deep learning mod…
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
Yongqi Dong, Xingmin Lu, Ruohan Li +3
The burgeoning navigation services using digital maps provide great convenience to drivers. Nevertheless, the presence of anomalies in lane rendering map images occasionally introd…
WRICNet:A Weighted Rich-scale Inception Coder Network for Multi-Resolution Remote Sensing Image Change Detection
Yu Jiang, Lei Hu, Yongmei Zhang +1
Majority models of remote sensing image changing detection can only get great effect in a specific resolution data set. With the purpose of improving change detection effectiveness…
Companion Surface of Danger Cylinder and its Role in Solution Variation of P3P Problem
Bo wang, Hao Hu, Caixia Zhang
Traditionally the danger cylinder is intimately related to the solution stability in P3P problem. In this work, we show that the danger cylinder is also closely related to the mult…
New insights on Multi-Solution Distribution of the P3P Problem
Bo Wang, Hao Hu, Caixia Zhang
Traditionally, the P3P problem is solved by firstly transforming its 3 quadratic equations into a quartic one, then by locating the roots of the resulting quartic equation and veri…
Object Recognition Based on Amounts of Unlabeled Data
Fuqiang Liu, Fukun Bi, Liang Chen
This paper proposes a novel semi-supervised method on object recognition. First, based on Boost Picking, a universal algorithm, Boost Picking Teaching (BPT), is proposed to train a…