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cs.CV2026
The Label Imitation Game: Turing Test Network for Zero-Shot Pseudo-Label Pruning
Brent A. Griffin, Jason J. Corso
Foundation model pseudo-labeling - labeling data strictly via zero-shot inference - enables massive scale, but performance is undermined by hallucinations that evade standard thres…
cs.CV2025
Zero-Shot Coreset Selection via Iterative Subspace Sampling
Brent A. Griffin, Jacob Marks, Jason J. Corso
Deep learning increasingly relies on massive data with substantial storage, annotation, and training costs. To reduce costs, coreset selection finds a representative subset of data…
cs.CV2025
Auto-Labeling Data for Object Detection
Brent A. Griffin, Manushree Gangwar, Jacob Sela +1
Great labels make great models. However, traditional labeling approaches for tasks like object detection have substantial costs at scale. Furthermore, alternatives to fully-supervi…