Fairness of SOTA comparison in mPLUG-2 about alicemind

[Roleone123]

Hi, thanks for having interested in our paper.

1. We will included it in the updated version. Actually, the mPLUG-2 Base surpasses Singularity(17M) with 7% improvement on R1 (41.5 v.s. 48.3) for MSRVTT, and it achieves better performance than Singularity on DiDeMo in terms of R5 and R10.
2. We aim to demonstrate the generalization ability of our proposed method with the proposed universal layer module on uni-modal datasets. For X-CLIP and UniformerV2, these two methods are designed for general video action recognition thus needs to follow the standard protocol. However, as the pre-training approaches which utilize much more extra video data (e.g. CoCa, InternVideo, Merlot-Reserve), we cannot ensure the fair comparison justification of these methods. We will cite UniFormerV2 and add Kinetics-710 clarification in the updated version.

[Andy1621]

Thanks for your answers! Hopefully for the public code soon!