Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition
End-to-end encryption (E2EE) provides strong technical protections to individuals from
interferences. Governments and law enforcement agencies around the world have however …
interferences. Governments and law enforcement agencies around the world have however …
Replication in visual diffusion models: A survey and outlook
Visual diffusion models have revolutionized the field of creative AI, producing high-quality
and diverse content. However, they inevitably memorize training images or videos …
and diverse content. However, they inevitably memorize training images or videos …
[HTML][HTML] Vision transformers are active learners for image copy detection
Abstract Image Copy Detection (ICD) is developed to identify and track duplicated or
manipulated images. The majority of existing methods rely on Convolutional Neural …
manipulated images. The majority of existing methods rely on Convolutional Neural …
A 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 …
any image from a reference set. Currently, there are very limited public benchmarks for ICD …
Pattern-Expandable Image Copy Detection
Open-world visual recognition aims to empower models to identify objects in real-world
settings, particularly when they encounter domains or categories that are not included in the …
settings, particularly when they encounter domains or categories that are not included in the …
VL: Leveraging Vision and Vision-language Models into Large-scale Product Retrieval
Product retrieval is of great importance in the ecommerce domain. This paper introduces our
1st-place solution in eBay eProduct Visual Search Challenge (FGVC9), which is featured for …
1st-place solution in eBay eProduct Visual Search Challenge (FGVC9), which is featured for …
Image Copy Detection for Diffusion Models
Images produced by diffusion models are increasingly popular in digital artwork and visual
marketing. However, such generated images might replicate content from existing ones and …
marketing. However, such generated images might replicate content from existing ones and …
[HTML][HTML] Enhancing Image Copy Detection through Dynamic Augmentation and Efficient Sampling with Minimal Data
Social networks have become deeply integrated into our daily lives, leading to an increase
in image sharing across different platforms. Simultaneously, the existence of robust and user …
in image sharing across different platforms. Simultaneously, the existence of robust and user …
Results and findings of the 2021 Image Similarity Challenge
Abstract The 2021 Image Similarity Challenge introduced a dataset to serve as a benchmark
to evaluate image copy detection methods. There were 200 participants to the competition …
to evaluate image copy detection methods. There were 200 participants to the competition …
Relational Self-supervised Distillation with Compact Descriptors for Image Copy Detection
This paper addresses image copy detection, a task in online sharing platforms for copyright
protection. While previous approaches have performed exceptionally well, the large size of …
protection. While previous approaches have performed exceptionally well, the large size of …