Video instance segmentation (VIS) aims at segmenting and tracking objects in videos.

Spiking neural networks have attracted increasing attention in recent years due to their potential of handling time-dependent data.

Intrinsic evaluations focus on the inherent properties of the model, while extrinsic evaluations measure biases in the context of specific tasks.

Lloyd's algorithm uses iterative improvements to find a locally optimalk-means clustering. The performance of Lloyd'salgorithm crucially depends on the quality of the initial clustering, which isdefined bytheinitial setofcenters, called aseed.