Zobrazeno 1 - 10
of 781
pro vyhledávání: '"Hu Ruimin"'
Due to the successful development of deep image generation technology, forgery detection plays a more important role in social and economic security. Racial bias has not been explored thoroughly in the deep forgery detection field. In the paper, we f
Externí odkaz:
http://arxiv.org/abs/2407.14367
Deep generator technology can produce high-quality fake videos that are indistinguishable, posing a serious social threat. Traditional forgery detection methods directly centralized training on data and lacked consideration of information sharing in
Externí odkaz:
http://arxiv.org/abs/2406.11145
Deep neural networks are proven to be vulnerable to fine-designed adversarial examples, and adversarial defense algorithms draw more and more attention nowadays. Pre-processing based defense is a major strategy, as well as learning robust feature rep
Externí odkaz:
http://arxiv.org/abs/2406.10933
Cloth-changing person re-identification (CC-ReID) aims to match persons who change clothes over long periods. The key challenge in CC-ReID is to extract clothing-independent features, such as face, hairstyle, body shape, and gait. Current research ma
Externí odkaz:
http://arxiv.org/abs/2401.05646
This paper studies the problem of zero-shot sketch-based image retrieval (ZS-SBIR), which aims to use sketches from unseen categories as queries to match the images of the same category. Due to the large cross-modality discrepancy, ZS-SBIR is still a
Externí odkaz:
http://arxiv.org/abs/2312.10320
Deepfake detection refers to detecting artificially generated or edited faces in images or videos, which plays an essential role in visual information security. Despite promising progress in recent years, Deepfake detection remains a challenging prob
Externí odkaz:
http://arxiv.org/abs/2312.04961
Identity tracing is a technology that uses the selection and collection of identity attributes of the object to be tested to discover its true identity, and it is one of the most important foundational issues in the field of social security preventio
Externí odkaz:
http://arxiv.org/abs/2311.02703
Unsupervised image Anomaly Detection (UAD) aims to learn robust and discriminative representations of normal samples. While separate solutions per class endow expensive computation and limited generalizability, this paper focuses on building a unifie
Externí odkaz:
http://arxiv.org/abs/2310.14228
Due to the successful development of deep image generation technology, visual data forgery detection would play a more important role in social and economic security. Existing forgery detection methods suffer from unsatisfactory generalization abilit
Externí odkaz:
http://arxiv.org/abs/2307.11438
Image super-resolution (SR) is a technique to recover lost high-frequency information in low-resolution (LR) images. Spatial-domain information has been widely exploited to implement image SR, so a new trend is to involve frequency-domain information
Externí odkaz:
http://arxiv.org/abs/2212.04314