Papers Copy Detection
“Copy Detection” 태그가 달린 논문 47편 · 필터 해제
Anomaly localization for copy detection patterns through print estimations
Copy detection patterns (CDP) are recent technologies for protecting products from counterfeiting. However, in contrast to traditional copy fakes, deep learning-based fakes have shown to be hardly distinguishable from or…
Anomaly LocalizationCopy DetectionAuthentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach
Copy detection patterns (CDP) are an attractive technology that allows manufacturers to defend their products against counterfeiting. The main assumption behind the protection mechanism of CDP is that these codes printed…
BIG-bench Machine LearningCopy DetectionA Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection
Image copy detection (ICD) aims to determine whether a query image is an edited copy of any image from a reference set. Currently, there are very limited public benchmarks for ICD, while all overlook a critical challenge…
Copy DetectionMetric LearningA large-Scale TV Dataset for partial video copy detection
This paper is interested with the performance evaluation of the partial video copy detection. Several public datasets exist designed from web videos. The detection problem is inherent to the continuous video broadcasting…
Copy DetectionPartial Video Copy DetectionA Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection
In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset. Compared with existing copy detection datasets restricted by either video-level annotati…
BenchmarkingCopy DetectionMobile authentication of copy detection patterns
In the recent years, the copy detection patterns (CDP) attracted a lot of attention as a link between the physical and digital worlds, which is of great interest for the internet of things and brand protection applicatio…
Copy DetectionOne-Class ClassificationA Self-Supervised Descriptor for Image Copy Detection
Image copy detection is an important task for content moderation. We introduce SSCD, a model that builds on a recent self-supervised contrastive training objective. We adapt this method to the copy detection task by chan…
Contrastive LearningCopy Detectionimage-classificationImage ClassificationVision 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. Applied to ImageNet, this leads…
Action ClassificationAction RecognitionCopy DetectionDomain Generalization+13Results 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. There were 200 participants to the competition. This paper presents a quantitative and…
Copy DetectionSelf-Supervised LearningContrastive 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. Thus, we addressed copy detection by training convolutional neural networks (CNNs) with…
Contrastive LearningCopy DetectionData AugmentationQK Iteration: A Self-Supervised Representation Learning Algorithm for Image Similarity
Self-supervised representation learning is a fundamental problem in computer vision with many useful applications (e.g., image search, instance level recognition, copy detection). In this paper we present a new contrasti…
Copy DetectionImage RetrievalRepresentation LearningSelf-Supervised LearningD$^2$LV: A Data-Driven and Local-Verification Approach for Image Copy Detection
Image copy detection is of great importance in real-life social media. In this paper, a data-driven and local-verification (D$^2$LV) approach is proposed to compete for Image Similarity Challenge: Matching Track at NeurI…
Copy DetectionUnsupervised Pre-trainingBag of Tricks and A Strong baseline for Image Copy Detection
Image copy detection is of great importance in real-life social media. In this paper, a bag of tricks and a strong baseline are proposed for image copy detection. Unsupervised pre-training substitutes the commonly-used s…
Copy DetectionUnsupervised Pre-trainingMachine 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. Copy detection patterns (CDP) are considered as such solution in several applic…
BIG-bench Machine LearningCopy DetectionA Robust Scheme for 3D Point Cloud Copy Detection
Most existing 3D geometry copy detection research focused on 3D watermarking, which first embeds ``watermarks'' and then detects the added watermarks. However, this kind of methods is non-straightforward and may be less …
3D geometryCopy DetectionCompact Binary Fingerprint for Image Copy Re-Ranking
Image copy detection is challenging and appealing topic in computer vision and signal processing. Recent advancements in multimedia have made distribution of image across the global easy and fast: that leads to many othe…
Copy DetectionRe-RankingRetrievalVideo Similarity and Alignment Learning on Partial Video Copy Detection
Existing video copy detection methods generally measure video similarity based on spatial similarities between key frames, neglecting the latent similarity in temporal dimension, so that the video similarity is biased to…
Copy DetectionPartial Video Copy DetectionVideo SimilarityThe 2021 Image Similarity Dataset and Challenge
This paper introduces a new benchmark for large-scale image similarity detection. This benchmark is used for the Image Similarity Challenge at NeurIPS'21 (ISC2021). The goal is to determine whether a query image is a mod…
Copy DetectionImage Similarity DetectionMisinformationA Fast Partial Video Copy Detection Using KNN and Global Feature Database
We propose a fast partial video copy detection framework in this paper. In this framework all frame features of the reference videos are organized in a KNN searchable database. Instead of scanning all reference videos, t…
Copy DetectionPartial Video Copy DetectionEmerging Properties in Self-Supervised Vision Transformers
In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) that stand out compared to convolutional networks (convnets). Beyond the fact that adapting self-supervised metho…
Copy DetectionImage ClassificationImage RetrievalLinear evaluation+7