No Label Left Behind: A Unified Surface Defect Detection Model for all Supervision Regimes
Paper
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2508.19060
•
Published
•
8
Blaz Rolih
blaz-r
AI & ML interests
Deep learning, Computer vision, Remote sensing, Anomaly detection.
Recent Activity
updated
a dataset
5 days ago
blaz-r/OSCD_RGB_Cropped_96
commented on
a paper
7 days ago
No Label Left Behind: A Unified Surface Defect Detection Model for all
Supervision Regimes
Organizations
authored
a
paper
8 days ago
authored
3
papers
about 2 months ago
Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices
Paper
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2507.03367
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Published
SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection
Paper
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2408.03143
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Published
Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble
Paper
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2403.04932
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Published