2 papers
cs.CV2026
Bridging the Synthetic-to-Real Gap for Few-Shot Cryo-ET Classification
Siddhant Bharadwaj, Ashish Vashist, Rashi Singh +5
Subtomogram classification in cryo-electron tomography (cryo-ET) is a challenging problem due to the scarcity of labeled examples. While cryo-ET simulators can be adopted to genera…
cs.CV2024
Deep Active Learning with Manifold-preserving Trajectory Sampling
Yingrui Ji, Vijaya Sindhoori Kaza, Nishanth Artham +1
Active learning (AL) is for optimizing the selection of unlabeled data for annotation (labeling), aiming to enhance model performance while minimizing labeling effort. The key ques…