WebFirst, we introduce KnowIT VQA, a video dataset with 24,282 human-generated question-answer pairs about a popular sitcom. The dataset combines visual, textual and temporal … http://export.arxiv.org/pdf/2103.14517
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WebJun 23, 2024 · The proposed $\text{LiVLR}$ is lightweight and shows its performance advantage on three VideoQA benchmarks, MRSVTT-QA, KnowIT VQA, and TVQA. Extensive ablation studies demonstrate the effectiveness of the key components of $\text{LiVLR}$ . WebOct 17, 2024 · Our model outperforms the state of the art on the KnowIT VQA dataset by a large margin, without using question-specific human annotation or human-made plot summaries. It even outperforms human evaluators who have never watched any whole episode before.
WebApr 17, 2024 · First, we introduce KnowIT VQA, a video dataset with 24,282 human-generated question-answer pairs about a popular sitcom. The dataset combines visual, … WebApr 3, 2024 · First, we introduce KnowIT VQA, a video dataset with 24,282 human-generated question-answer pairs about a popular sitcom. The dataset combines visual, textual and temporal coherence reasoning together with knowledge-based questions, which need of the experience obtained from the viewing of the series to be answered.
WebOct 23, 2024 · First, we introduce KnowIT VQA, a video dataset with 24,282 human-generated question-answer pairs about a popular sitcom. The dataset combines visual, … WebROLL on KnowIT VQA Start Visdom Server. To visualize the training plots, first start the Visdom server: python -m visdom.server . Plots can be found by visiting …
Web• Augment VQA dataset so that image modality is needed to answer the question correctly. • For each triplet (I,Q,A) in the dataset, introduce a triplet (I’,Q,A’), s.t. I’ is similar to I but the ... KnowIT VQA • This task focuses on answering questions requiring understanding of temporal, visual and textual modalities.
WebOct 22, 2024 · First, we introduce KnowIT VQA, a video dataset with 24,282 human-generated question-answer pairs about a popular sitcom. The dataset combines visual, textual and temporal coherence reasoning ... ombre hair tutorial for black hairWebKnowIT VQA [11] is a knowledge-based dataset, includ-ing questions related to the scene, the episode or the entire story of a TV show, as well as knowledge annotation re-quired to address certain questions, in the form of hints. Transformer-based methods are proposed to address this task by employing knowledge annotation [11] or external ombre hairstyle picturesWebOct 23, 2024 · First, we introduce KnowIT VQA, a video dataset with 24,282 human-generated question-answer pairs about a popular sitcom. The dataset combines visual, … ombre hair color salon near meWebDownload the KnowIT VQA dataset and save the csv files in Data/. Install dependencies: Python 3.6 numpy ( conda install -c anaconda numpy) pandas ( conda install -c anaconda pandas) sklearn ( conda install -c anaconda scikit-learn) visdom ( conda install -c conda-forge visdom) pytorch 0.4.1 ( conda install pytorch=0.4.1 cuda90 -c pytorch) ombre hand towelsWebOct 23, 2024 · First, we introduce KnowIT VQA, a video dataset with 24,282 human-generated question-answer pairs about a popular sitcom. The dataset combines visual, textual and temporal coherence reasoning together with knowledge-based questions, which need of the experience obtained from the viewing of the series to be answered. Second, … ombre hat patternWebApr 3, 2024 · First, we introduce KnowIT VQA, a video dataset with 24,282 human-generated question-answer pairs about a popular sitcom. The dataset combines visual, textual and … ombre hair extension clip insWebNov 29, 2024 · LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering 29 Nov 2024 · Jingjing Jiang , Ziyi Liu , Nanning Zheng · Edit social preview Video Question Answering (VideoQA), aiming to correctly answer the given question based on understanding multi-modal video content, is challenging due to the rich video … ombre hair with balayage highlights