Unverified50% confidenceFactExact time
Nearly all mainstream video captioning evaluation methods rely on matching model-generated text against human-annotated reference answers, with higher match scores yielding higher results.
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9/11/2026
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Unverified同时提供参考图和参考视频能做出更精准的定向编辑，第一次生成往往不够理想76% similarUnverifiedMost existing video captioning evaluation methods only produce a single overall score and are unable to perform fine-grained decomposition analysis of caption quality.75% similarUnverifiedThis research proposes redefining caption quality from the perspective of "information fidelity," examining whether a caption faithfully and completely conveys the key information in the video.73% similarUnverified解说二创模式依赖语义对齐能力，需理解解说词语义并在原片ASR转录文本中定位最匹配的视频片段72% similarUnverifiedUnder the information fidelity definition, a high-quality caption should maximize coverage of video content while avoiding the introduction of erroneous content not present in the video.70% similar
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