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Found 5 papers, 3 papers with code
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion
Robust and accurate camera calibration is essential for 3D reconstruction in light microscopy under circular motion.
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
(1) The teacher model serves a dual role as a teacher and a student, such that the teacher predictions on unlabeled images may be very close to those of student, which limits the upper-bound of the student.
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation
When trained with these noisy labels, DNNs provide largely the same segmentation performance as trained by the original ground truth.
REFUGE2 Challenge: A Treasure Trove for Multi-Dimension Analysis and Evaluation in Glaucoma Screening
Here we release a multi-annotation, multi-quality, and multi-device color fundus image dataset for glaucoma analysis on an original challenge -- Retinal Fundus Glaucoma Challenge 2nd Edition (REFUGE2).
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks
Our understanding of the learning behavior of DNNs trained by noisy segmentation labels remains limited.
