Vikanksh Nath
Geciteerd door
Geciteerd door
NSLNet: An improved deep learning model for steel surface defect classification utilizing small training datasets
V Nath, C Chattopadhyay, KA Desai
Manufacturing Letters 35, 39-42, 2023
S2D2Net: An improved approach for robust steel surface defects diagnosis with small sample learning
V Nath, C Chattopadhyay
2021 IEEE International Conference on Image Processing (ICIP), 1199-1203, 2021
On enhancing prediction abilities of vision-based metallic surface defect classification through adversarial training
V Nath, C Chattopadhyay, KA Desai
Engineering Applications of Artificial Intelligence 117, 105553, 2023
Development of image-based fast defect recognition and localization network (FDRLNet) for steel surfaces
V Nath, C Chattopadhyay, KA Desai
Manufacturing Letters 35, 958-964, 2023
Query-Focused Re-Ranking to Enhance the Performance of Text Entailment and Question Answering
V Nath, V Chauhan, L Dey
Proceedings of the 6th Joint International Conference on Data Science …, 2023
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Artikelen 1–5