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Found 4 papers, 1 papers with code
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images
Finally, we propose the best cluster numbers for each class of objects in KITTI dataset that improves the performance of detection model significantly.
Crowd Sourcing based Active Learning Approach for Parking Sign Recognition
In this paper, we introduce a real-world problem, the recognition of parking signs, and present a framework that combines active learning techniques with a transfer learning approach and crowd-sourcing tools to create and train a machine learning solution to the problem.
Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method
These methods have not yet replaced manual scoring for the assessment of IHC in the majority of diagnostic laboratories and in many large-scale research studies.
Deep Learning for Identifying Metastatic Breast Cancer
The International Symposium on Biomedical Imaging (ISBI) held a grand challenge to evaluate computational systems for the automated detection of metastatic breast cancer in whole slide images of sentinel lymph node biopsies.
