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# CVPR 2024 - Open-Vocabulary Video Anomaly Detection
* 论文:
![image](https://github.com/lartpang/blog/assets/26847524/39e42922-523a-4f5f-b350-23fa5164eeab)
这篇文章主要研究了开放词汇视频异常检测(openvocabulary …
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### Feature request
Currently the Owl-vit models support inference and CLIP-style contrastive pre-training, but don't provide a way to train (or fine-tune) the detection part of the model. According …
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Thanks for the great work!
In the paper, the authors use MViT to extract high-quality class-specific proposals using image-level labels based on its great generalization ability. Thus, a straightfo…
fushh updated
8 months ago
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Hi @yhcao6 when I run the second step of Open-Vocabulary Detection:`python tools/v3det_ovd_utils/split_base_novel.py datasets/V3Det/annotations/v3det_2023_v1_train.json`, I found this step to do was t…
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Hi @siyuanliii , I want to perform open-vocabulary detection and tracking using Detic. However, I am not sure how to change the detector from GroundingDINO to Detic. Can you provide some instructions …
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Thank you for your great work, I have 2 questions.
1. How to train RPN separately? The RPN in the article seems to be somewhat related to the OLN network.
2. If you use the Regionclip model, you can…
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Recent works like YOLO-World and GroundingDINO mainly use Object365 and GoldG for pretraining. These methods do not use CLIP image encoder as the backbone (unlike some open-vocabulary detection method…
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Thanks for the awesome GLIP, I share our recent work 🦖OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion.
* OV-DINO is a novel unified open vocabulary detection approac…
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Thanks for the awesome Grounding-DINO, I share our recent work 🦖OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion.
* OV-DINO is a novel unified open vocabulary detecti…
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Thanks for the awesome YOLO-World, I share our recent work 🦖OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion.
* OV-DINO is a novel unified open vocabulary detection …