Laoming Zhang

TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning

"This paper presents a transformer framework for few-shot learning, termed TransVLAD, with one focus showing the power of locally aggregated descriptors for few-shot learning. Our TransVLAD model is simple: a standard transformer encoder following a NeXtVLAD aggregation module to output the locally…