no code implementations • 30 Apr 2024 • Dongyun Lin, Yi Cheng, Shangbo Mao, Aiyuan Guo, Yiqun Li
Specifically, leveraging the descriptor which is effective for zero-shot inference to guide the tuning of the aggregated descriptor under the few-shot training can significantly improve the few-shot learning efficacy.
no code implementations • 20 Jul 2023 • Dongyun Lin, Yi Cheng, Aiyuan Guo, Shangbo Mao, Yiqun Li
With deep features extracted from point clouds and multi-view images, we design two types of feature aggregation modules, namely the In-Modality Aggregation Module (IMAM) and the Cross-Modality Aggregation Module (CMAM), for effective feature fusion.