DAIR.AI 的 Elvis Saravia 推荐了开源视觉基础模型 LingBot-Vision,该模型在长连续操作中实现了深度一致性。同期发布的 LingBot-Depth 2.0 采用 150M 规模训练,深度误差减半,在 12/16 个基准测试中夺冠,解决了玻璃、镜子等透明物体的深度估计难题。LingBot-Vision 完全开源,LingBot-Depth 2.0 也于今日一同发布。
Cool open-source release.
Physical AI is the next frontier, so things are shifting from thinking to taking action.
LingBot-Vision looks like a strong visual foundation model and shows progress in consistent depth on long, continuous operations.