Академию управления МВД уличили в нарушении авторских прав14:46
LoGeR scales feedforward dense 3D reconstruction to extremely long videos. By processing video streams in chunks and bridging them with a novel hybrid memory module, LoGeR alleviates quadratic complexity bottlenecks. It combines Sliding Window Attention (SWA) for precise local alignment with Test-Time Training (TTT) for long-range global consistency, reducing drift over massive sequences up to 19,000 frames without any post-hoc optimization.
，更多细节参见爱思助手
Что думаешь? Оцени!
between different operating systems.