公众号 本文分享论文VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection,该论文已被 AAAI 2024 接收,代码和相关CLIP特征已开源。 详细信息如下: Code&CLIP features:https://github.com/nwpu-zxr/Va...
本文分享论文VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection,该论文已被 AAAI 2024 接收,代码和相关CLIP特征已开源。 详细信息如下: Code&CLIP features:https://github.com/nwpu-zxr/VadCLIP) 论文链接:https://arxiv.org/abs/2308.11681 作者:吴鹏,周学荣(研二,学生一作...
We introduce the novel method AnomalyCLIP, the first to combine Large Language and Vision (LLV) models, such as CLIP, with multiple instance learning for joint video anomaly detection and classification. Our approach specifically involves manipulating the latent CLIP feature space to identify the ...
Ultimately, the classifier is an efficient system with high sensitivity. The high-quality video clip proposals are helpful for further anomaly detection.doi:10.1007/978-3-030-70042-3_98Yunke LiXue MeiXinhong Wu
@article{wu2023vadclip,title={Vadclip: Adapting vision-language models for weakly supervised video anomaly detection},author={Wu, Peng and Zhou, Xuerong and Pang, Guansong and Zhou, Lingru and Yan, Qingsen and Wang, Peng and Zhang, Yanning},booktitle={Proceedings of the AAAI Conference on ...
@article{wu2023vadclip,title={Vadclip: Adapting vision-language models for weakly supervised video anomaly detection},author={Wu, Peng and Zhou, Xuerong and Pang, Guansong and Zhou, Lingru and Yan, Qingsen and Wang, Peng and Zhang, Yanning},booktitle={Proceedings of the AAAI Conference on ...
CLIP(Contrastive Language-Image Pre-training)是一种多模态模型,这意味着它可以同时处理文本和图像数据。它的目标是将文本描述和图像内容关联起来,使得模型能够理解文本描述与图像之间的语义关系。它通过学习大量的文本和图像来获得对于语义理解的通用知识,这种通用知识可以在各种具体任务中进行微调,使得模型可以适应不同...
提出sequence-wise 模块来捕获图像块和文本标记之间的细粒度关系,做法就是把clip编码后的图像和文本拼到一起组成新的embedding,送到后续的网络中; 2.设计了modality-wise attention模块,学习各模态的权重,这里直接用了《Multimodal Keyless Attention Fusion for Video Classification》中的Keyless Attention;3. task ...
🎏Better embeddings: Create high-quality embeddings for semantic search, visual similarity search, cross-modal text<->image search, recommendation systems, clustering, duplication detection, anomaly detection, or other uses. ⏰Low budget, high expectations: Bring considerable improvements to model perfo...
本篇分享论文CLIP-VG: Self-paced Curriculum Adapting of CLIP for Visual Grounding,其工作内容是基于自步课程学习实现多模态大模型CLIP在多模态视觉语言理解与定位任务上的迁移研究。 详细信息如下: 发表期刊:IEEE Transactions on Multimedia 中科院/JCR一区顶刊 ...