Structured Affinity for Unsupervised Visual Class-Incremental Memory in Deep Artificial Immune Networks

Artificial immune networks (AINs) are naturally memory-forming systems, but conventional visual AINs often rely on flattened vector affinity that ignores spatial structure. This paper studies whether structured, gradient-free immune affinity can make Deep AINs viable as replay-free visual class-incr...