Abstract: Transfer learning from pre-trained encoders has become essential in modern machine learning, enabling efficient model adaptation across diverse tasks. However, this combination of ...

In today’s digital world, video content reigns supreme. Whether you’re a filmmaker, content creator, or just someone who enjoys sharing memories through video, you’ve likely encountered the need to ...

Abstract: In this work we propose a novel joint training method for Visual Place Recognition (VPR), which simultaneously learns a global descriptor and a pair classifier for re-ranking. The pair ...

Outperforms advanced methods in terms of rate-distortion-perception performance. Delivers exceptional encoding efficiency for 35.8 FPS@1080P Maintains competitive decoding speed compared to existing ...