Abstract: Contemporary multi-modal trackers achieve strong performance by leveraging complex backbones and fusion strategies, but this comes at the cost of computational efficiency, limiting their ...
Abstract: Benefiting from the ability to process and integrate data from various modalities, multi-modal foundation models (FMs) facilitate potential applications across a range of fields, including ...
This repository contains code for CVPR 2023 paper Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. It contains the code for vision-language adaptation on 11 ...
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