Copy Detection

11 papers with code • 1 benchmarks • 1 datasets

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Datasets


Most implemented papers

Emerging Properties in Self-Supervised Vision Transformers

facebookresearch/dino 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).

Video Re-localization

fengyang0317/video_reloc ECCV 2018

We first exploit and reorganize the videos in ActivityNet to form a new dataset for video re-localization research, which consists of about 10, 000 videos of diverse visual appearances associated with localized boundary information.

The 2021 Image Similarity Dataset and Challenge

facebookresearch/isc2021 17 Jun 2021

This benchmark is used for the Image Similarity Challenge at NeurIPS'21 (ISC2021).

Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?

romaroman/cdp-ml-fakes 5 Oct 2021

Nowadays, the modern economy critically requires reliable yet cheap protection solutions against product counterfeiting for the mass market.

D$^2$LV: A Data-Driven and Local-Verification Approach for Image Copy Detection

wangwenhao0716/isc-track1-submission 13 Nov 2021

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 13 Nov 2021

In this paper, a bag of tricks and a strong baseline are proposed for image copy detection.

Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection

lyakaap/isc21-descriptor-track-1st 8 Dec 2021

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.

Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision

facebookresearch/vissl 16 Feb 2022

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 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.