Copy Detection
22 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Copy Detection
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Libraries
Use these libraries to find Copy Detection models and implementations
VCSL
STVD-PVCD
Latest papers
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.
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 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.
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.
Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection
towhee-io/towhee
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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.
D$^2$LV: A Data-Driven and Local-Verification Approach for Image Copy Detection
wangwenhao0716/isc-track1-submission
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In this paper, a data-driven and local-verification (D$^2$LV) approach is proposed to compete for Image Similarity Challenge: Matching Track at NeurIPS'21.
Bag of Tricks and A Strong baseline for Image Copy Detection
wangwenhao0716/isc-track2-submission
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In this paper, a bag of tricks and a strong baseline are proposed for image copy detection.
Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?
Nowadays, the modern economy critically requires reliable yet cheap protection solutions against product counterfeiting for the mass market.
The 2021 Image Similarity Dataset and Challenge
This benchmark is used for the Image Similarity Challenge at NeurIPS'21 (ISC2021).
Emerging Properties in Self-Supervised Vision Transformers
facebookresearch/dino
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ICCV 2021
In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets).
