MSR-VTT-1kA HunYuan_tvr Video Retrieval MSR-VTT GRAM Zero-Shot Video Retrieval MSR-VTT InternVideo2-6B Video Captioning MSR-VTT mPLUG-2 Text-to-Video Generation MSR-VTT Snap Video Show all 9 benchmarks Papers Dataset Loaders AddRemove ...
The MSRVTT-MC (Multiple Choice) dataset is a video question-answering dataset created based on the MSR-VTT dataset. It consists of 2,990 questions generated from 10,000 video clips with associated ground truth captions. For each question, there are five candidate captions, including the ground...
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language Jun Xu , Tao Mei , Ting Yao and Yong Rui Microsoft Research, Beijing, China {v-junfu, tmei, tiyao, yongrui}@microsoft.com Abstract While there has been increasing interest in the task of describing video with ...
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language Jun Xu , Tao Mei , Ting Yao and Yong Rui Microsoft Research, Beijing, China {v-junfu, tmei, tiyao, yongrui}@microsoft.com Abstract While there has been increasing interest in the task of describing video with ...
327 AMT workers. We present a detailed analysis of MSR-VTT in comparison to a complete set of existing datasets, together with a summarization of different state-of-the-art video-to-text approaches. We also provide an extensive evaluation of these approaches on ...
Step 4: Prepare MSRVTT-Personalization dataset Step 5: Generate videos and collect ground truth embeddings (optional) Step 6: Run evaluation Get started git clone https://github.com/snap-research/MSRVTT-Personalization.git cd MSRVTT-Personalization Step 1: Download videos Download MSR-VTT dataset...
We found that MSR-VTT dataset contains a lot of noisy annotations. After analyzing the data carefully, we put some efforts on cleaning the annotations. We retrained some models on the cleaned dataset and found experimental results improved compared to the previous models. Requirements Python 3 Jupy...
We also provide an extensive evaluation of these approaches on this dataset, showing that the hybrid Recurrent Neural Networkbased approach, which combines single-frame and motion representations with soft-attention pooling strategy, yields the best generalization capability on MSR-VTT. 展开 ...
327 AMT workers. We present a detailed analysis of MSR-VTT in comparison to a complete set of existing datasets, together with a summarization of different state-of-the-art video-to-text approaches. We also provide an extensive evaluation of these approaches on this data...
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language [Supplementary Material] Jun Xu, Tao Mei, Ting Yao, Yong Rui October 2016 Published by IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)...