Search papers, labs, and topics across Lattice.
University of Electronic Science and Technology of China, Harbin Institute of Technology, Peking University
2
0
4
Freezing a text encoder and distilling prompts from vision-language models can stabilize semantics and boost performance in lifelong person re-identification, even across unseen domains.
A new dataset, SeIQA, offers a benchmark to evaluate how humans perceive semantic loss in degraded images, pushing beyond traditional quality metrics.
