We propose Gaze-LLE, a transformer framework for gaze target estimation, utilizing a frozen DINOv2 encoder for streamlined feature extraction, achieving state-of-the-art performance across multiple benchmarks.

https://arxiv.org/abs//2412.09586

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers