Class-agnostic Few-shot Object Counting

类别无关少样本目标计数.

GCNet: Probing Self-Similarity Learning for Generalized Counting Network

GCNet：探索通用计数网络的自相似度学习.

Mimetic Initialization of Self-Attention Layers

自注意力层的模仿初始化.

Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting

现成的视觉Transformer：令人惊讶的少样本类别无关计数基准.

Zero-shot Object Counting

零样本目标计数.

Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting

用于模板引导的类别无关计数的尺度先验可变形卷积.