我们首先尝试了一组在闭集场景下表现优异的CLIP-based的视频模型:Action CLIP[1] , AIM ST-Adapter [2]以及 ST-Adapter[3]。 具体的实验设置为:首先将模型在Kinetics-400上进行fine-tuning,然后在UCF-101,HMDB-51以及Kinetics-600数据集上分别进行了测试。需要特别注意的是,针对Kinetics-600数据集,我们将验证集...
通过这种方式,就能够充分考虑标签的语义信息,从而进行Zero Shot的知识迁移,也利用了CLIP预训练好的图文知识。 2.2. CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval 2.2.1. 论文信息 CLIP2TV: An Empirical Study on Transformer-based Methods for Video-Text Retrieval 代码语...
推荐理事:林宙辰原文标题:An Empirical Study of CLIP for Text-based Person Search. Association for the Advance of Artificial Intelligence,2024原文链接:https://arxiv.org/abs/2308.10045原文代码链接:https://github.com/Flame-Chaser...
对于定量分数，作者只考虑目标对象名称嵌入，希望它与突出显示的图像嵌入比与原始图像嵌入具有更强的对齐。这意味着，如果突出显示技术改进了对齐方式，则对象概率的增加应该很大。作者基于LVIS 数据集进行分析，因为它的图像包含多个对象和一组丰富的类别。CLIP-Based Masking 直接等效于视觉Transformer中的masked pooling是...
we found training efficiency was key to successfully scaling natural language supervision and we selected our final pre-training method based on this metric 作者认为训练的效率是一个很关键的因素,所以他们基于这个标准进行预训练方法的选择。 作者首先使用类似于VirTex的方法,对一个cnn和一个transformer进行联合...
例如,MSP、MaxLogit、energy-based和gradient-based等方法都广泛应用于衡量ID分数。总结起来,这些方法的关键思想就是向模型传授ID知识,然后通过模型的回答(得分)来检测不匹配的情况。而作者分析了上述方法在下图的情况中有可能受到很大影响:下图中,绿色星星代表一些容易区分的OOD样本,因为它们与所有ID类别相对较远,自然...
RegionCLIP: Region-based Language-Image Pretraining (CVPR 2022) 提出原因:CLIP在包括图像细粒度分类,OCR等分类下游任务表现优异,但在object detection这类recognize image region上表现比较差。这是存在domain shift:CLIP建立的是image-text pair,并不能准确定位图片上的region。而本文就是为了解决这个问题。本文提出...
Being the clip based component which is used for the wiper blade for the automobile which connects with bateibura and the wiper armPROBLEM TO BE SOLVED: To provide a clip base member capable of preventing dispersion in holding and fixing a vertebra, shortening the holding and fixing work time...
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