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cs.CV2025
Robust Object Detection with Pseudo Labels from VLMs using Per-Object Co-teaching
Uday Bhaskar, Rishabh Bhattacharya, Avinash Patel +3
Foundation models, especially vision-language models (VLMs), offer compelling zero-shot object detection for applications like autonomous driving, a domain where manual labelling i…
cs.CV2024
Pseudo-labelling meets Label Smoothing for Noisy Partial Label Learning
Darshana Saravanan, Naresh Manwani, Vineet Gandhi
We motivate weakly supervised learning as an effective learning paradigm for problems where curating perfectly annotated datasets is expensive and may require domain expertise such…