2 papers
cs.CV2023
DINF: Dynamic Instance Noise Filter for Occluded Pedestrian Detection
Li Xiang, He Miao, Luo Haibo +1
Occlusion issue is the biggest challenge in pedestrian detection. RCNN-based detectors extract instance features by cropping rectangle regions of interest in the feature maps. Howe…
cs.LG2022
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning
Yizhen Zhong, Jiajie Xiao, Thomas Vetterli +5
The application of natural language processing (NLP) to cancer pathology reports has been focused on detecting cancer cases, largely ignoring precancerous cases. Improving the char…