2 papers
cs.CV2026
IDeaL: Data-Free Multi-Teacher Distillation via Improved Dead Leaves
Feyza Yavuz, Mert Bülent Sarıyıldız, Diane Larlus
Multi-teacher distillation has emerged as a way to combine complementary teacher models into a single student model that exhibits the strengths of all its teachers. The student is…
cs.CV2024
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…