vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual Recognition
arXiv:2503.21262v3 Announce Type: replace
Abstract: Capturing long-range dependencies (LRD) efficiently is a core challenge in visual recognition, and state-space models (SSMs) have recently emerged as a promising alternative to self-attention for add…