The application belongs to the technical field of
computer vision model publishing, and discloses a visual model continuous publishing method and
system based on a high-risk scene slice regression gate. The method compares the performance of a candidate publishing model and a
baseline model in the network at the slice level by constructing a high-risk scene slice set, generates a slice
regression result, and determines passing slices and blocking slices based on hard gating and soft gating. The passing slices are subjected to conditional volume increase and online routing, and local
rollback or global
rollback is performed according to online monitoring results, and the
baseline model in the network is updated after stabilization. The scheme can reduce the publishing risk caused by performance degradation in key scenes, and improve the safety and fine control ability of model continuous publishing.