English(EN) ERCLIP: Small-Data Adaptation of CLIP for Free-Length Image-Text Retrieval

ERCLIP 适配 CLIP 以用更少数据进行自由长度图文检索

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-21 16:09

研究人员开发了 ERCLIP，一种适配 CLIP 进行带有更长描述的图文检索的方法。ERCLIP 通过对长标题进行分段编码并融合这些嵌入来微调 CLIP，从而提高了在 COCO 和 ImageNet 等数据集上的检索准确性。这种方法在使用少量训练数据的情况下，显著缩小了与 LongCLIP 等更复杂模型的差距，同时保持了 CLIP 原有的零样本分类能力。 AI

影响增强了 CLIP 等模型的图文检索能力，使其能够更细致地理解更长的描述。

排序理由研究论文，详细介绍了一种适配现有模型的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.IR (Information Retrieval) 阅读 →

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Newsworthiness bucket: Tool; 研究论文，详细介绍了一种适配现有模型的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Cathal Gurrin · 2026-10-21 16:09

ERCLIP: Small-Data Adaptation of CLIP for Free-Length Image-Text Retrieval

CLIP's 77-token text encoder truncates detailed image descriptions. We present ERCLIP, a small-data adaptation of CLIP for long-caption image--text retrieval. During training, a long caption is split into sentences that the CLIP text encoder encodes independently; the sentence em…

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ERCLIP: Small-Data Adaptation of CLIP for Free-Length Image-Text Retrieval

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