https://xuquant.com/tags/dense-supervision/Recent content in Dense-Supervision on Xu'Bloghttps://xuquant.com/og-default.pnghttps://xuquant.com/og-default.pngHugo -- 0.152.2zhSun, 24 May 2026 10:00:00 +0800https://xuquant.com/posts/autonomous-driving/dense-latent-predictive-supervision/Sun, 24 May 2026 10:00:00 +0800https://xuquant.com/posts/autonomous-driving/dense-latent-predictive-supervision/AD VLA 用 sparse trajectory loss（12 个 waypoint × 2D = 24 scalars）监督 2B+ 参数 backbone，信息论 ratio ~10⁻¹⁰——supervision deficit 是 NAVSIM 87-93 区间停滞的核心原因。DriveVLA-W0 用 pixel-level future image prediction 补，方向对但路线非最优。V-JEPA 风格 latent predictive supervision 在 capacity / 推理 cost / 评测同构性三条上都更友好。