Knowit vqa

Author: hnsr

August undefined, 2024

WebDec 15, 2024 · Knowit vqa: Answering knowledge-based questions about videos. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 34, pages 10826-10834, 2024. 2 Text-guided graph neural ... 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 $\text{LiVLR}$ .

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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 ... 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, … fish scene stained glass

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WebJul 20, 2024 · We propose the attribute-augmented attention network learning framework that enables the joint frame-level attribute detection and unified video representation learning for video question answering. We … 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, … fish scene snowpiercer

Knowit vqa

LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for …

WebRecently, KnowIT VQA [5] introduced a combination of detailed questions about scenes and knowledge-based questions about the story. The proposed model re-lied on human-generated annotations to understand the insights of the plot. On the contrary, our model exploits both speci c and general story information WebMar 26, 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...

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WebOct 23, 2024 · KnowIT VQA: Answering Knowledge-Based Questions about Videos. We propose a novel video understanding task by fusing knowledge-based and video question … WebKnowIT VQA is a video dataset with 24,282 human-generated question-answer pairs about The Big Bang Theory. The dataset combines visual, textual and temporal coherence …

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, 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, … WebAbstract Video question answering (VideoQA) is designed to answer a given question based on a relevant video clip. The current available large-scale datasets have made it possible to formulate VideoQA as the joint understanding of visual and language information.

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, … WebNov 29, 2024 · From the perspective of video understanding, a good VideoQA framework needs to understand the video content at different semantic levels and flexibly integrate the diverse video content to distill question-related content. To this end, we propose a Lightweight Visual-Linguistic Reasoning framework named LiVLR. Specifically, LiVLR …

WebJun 23, 2024 · LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering. Abstract: Video Question Answering (VideoQA), aiming to correctly …

WebOct 21, 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 with knowledge-based questions, which need the experience obtained from the viewing of the series to be answered. Second, we propose a … fish scene young royalsWebtroduce 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 rea-soning together with knowledge-based questions, which need of the experience obtained from the viewing of the series to be candlewood st robert mo candlewood suites 1020 maxey rd houston tx