Search papers, labs, and topics across Lattice.
3
0
6
4
Skip the costly full training runs: this new metric accurately predicts face recognition dataset quality using only lightweight proxy models.
LLaVA-OV-2's codec-stream tokenization lets it crush existing video-language models, especially in tasks requiring fine-grained temporal understanding of high-frequency motion.
Turns out, skipping the boring parts of a video (like static backgrounds) makes your vision AI both faster and smarter, beating state-of-the-art models with less data.
