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cs.CV2026
CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws
Adnan Harun Doğan, Mert Deniz, Hande Alemdar +1
We present CoFINN (Conservation Flux Informed Neural Networks), a physics-informed deep learning framework for predicting compressible flow fields governed by conservation laws. Un…
cs.CV2024★ 1 cited
Bucketed Ranking-based Losses for Efficient Training of Object Detectors
Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan +3
Ranking-based loss functions, such as Average Precision Loss and Rank&Sort Loss, outperform widely used score-based losses in object detection. These loss functions better align wi…