This project implements knowledge distillation from DINOv2 (Vision Transformer) to convolutional networks, enabling efficient visual representation learning with reduced computational requirements.

@inproceedings{ABdistill, title = {Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons}, author = {Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi}, booktitle = ...

Abstract: Recently, transfer learning-based dynamic multiobjective optimization algorithms (TL-DMOAs) have been shown to be very promising in solving dynamic multiobjective optimization problems ...

Driven by a desire to improve these situations and help patients in need of transfer, hospitals are actively examining their ...

2025 marks half a century of innovation and growth through business and academic collaboration. Established in 1975, Knowledge Transfer Partnerships (KTPs) is one of the longest running Government ...

This collaboration, part-funded by Innovate UK, aims to expand Trelleborg’s capabilities in smart fabrics for healthcare applications through cutting-edge innovation and research-driven solutions. The ...

Doha: The Civil Service and Government Development Bureau (CGB) has signed a scope of work with several leading firms and institutions as part of the second “Knowledge Transfer” initiative ...

Yet, a key challenge persists: how to efficiently integrate external knowledge. Traditional methods such as fine-tuning and Retrieval-Augmented Generation (RAG) come with trade-offs—fine-tuning ...

Balance transfer cards don’t typically offer perks and benefits. With this one, you’ll earn decent cash back rewards. The MoneySense editors apply their credit card expertise and knowledge of ...

The next step in Arsenal's chase of Gyokeres could come this Tuesday after the latest clue emerged about their move for the Sporting striker ...