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Found 7 papers, 4 papers with code
The Effects of Short Video-Sharing Services on Video Copy Detection
From the experimental results focusing on segment-level and video-level situations, we can see that three effects: "Segment-level VCD in short video-sharing services is more difficult than those in general video-sharing services", "Video-level VCD in short video-sharing services is easier than those in general video-sharing services", "The video alignment component mainly suppress the detection performance in short video-sharing services".
Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track
Our solution adopts large multimodal models CLIP and BLIP-2 to filter and modify web crawl data, and utilize external datasets along with a bag of tricks to improve the data quality.
3rd Place Solution to Meta AI Video Similarity Challenge
This paper presents our 3rd place solution in both Descriptor Track and Matching Track of the Meta AI Video Similarity Challenge (VSC2022), a competition aimed at detecting video copies.
Results and findings of the 2021 Image Similarity Challenge
The 2021 Image Similarity Challenge introduced a dataset to serve as a new benchmark to evaluate recent image copy detection methods.
Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection
Copy detection, which is a task to determine whether an image is a modified copy of any image in a database, is an unsolved problem.
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval
Due to the variance of the images, which include extreme viewpoint changes such as having to retrieve images of the exterior of a landmark from images of the interior, this is very challenging for approaches based exclusively on visual similarity.
Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset
Besides, we devise a discriminative re-ranking method to address the diversity of the dataset for landmark retrieval.
