Copy Detection
22 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Copy Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Libraries
Use these libraries to find Copy Detection models and implementations
VCSL
STVD-PVCD
Most implemented papers
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Discriminative self-supervised learning allows training models on any random group of internet images, and possibly recover salient information that helps differentiate between the images.
A Self-Supervised Descriptor for Image Copy Detection
facebookresearch/sscd-copy-detection
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CVPR 2022
We adapt this method to the copy detection task by changing the architecture and training objective, including a pooling operator from the instance matching literature, and adapting contrastive learning to augmentations that combine images.
A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection
alipay/vcsl
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CVPR 2022
In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset.
A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection
Moreover, this paper further reveals a unique difficulty for solving the hard negative problem in ICD, i. e., there is a fundamental conflict between current metric learning and ICD.
Active Image Indexing
facebookresearch/active_indexing
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First, a neural network maps an image to a vector representation, that is relatively robust to various transformations of the image.
3rd Place Solution to Meta AI Video Similarity Challenge
line/meta-ai-video-similarity-challenge-3rd-place-solution
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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.
A Dual-level Detection Method for Video Copy Detection
feipengma6/vsc22-submission
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With the development of multimedia technology, Video Copy Detection has been a crucial problem for social media platforms.
A Similarity Alignment Model for Video Copy Segment Matching
feipengma6/vsc22-submission
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We propose a Similarity Alignment Model(SAM) for video copy segment matching.
The 2023 Video Similarity Dataset and Challenge
The problem comprises two distinct but related tasks: determining whether a query video shares content with a reference video ("detection"), and additionally temporally localizing the shared content within each video ("localization").
Representation Learning via Consistent Assignment of Views over Random Partitions
sthalles/carp
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NeurIPS 2023
We extensively ablate our method and demonstrate that our proposed random partition pretext task improves the quality of the learned representations by devising multiple random classification tasks.
