A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity Detection

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
weakly supervised learning   online activity detection   knowledge distillation   memory networks   curriculum learning  

Research Background and Significance In recent years, weakly supervised online activity detection (WS-OAD), as an important topic in high-level video understanding, has garnered widespread attention. Its primary goal is to detect ongoing activities frame-by-frame in streaming videos using only inexpensive video-level annotations. This task holds si...

Dynamic Attention Vision-Language Transformer Network for Person Re-Identification

Information Science, Electronic Information, Computer Science, Automation, Artificial Intelligence,
dynamic attention   vision-language   person re-identification   feature integration   deep learning   multimodal   domain adaptation  

Dynamic Attention Vision-Language Transformer Network for Person Re-Identification Research Report In recent years, multimodal person re-identification (ReID) has gained increasing attention in the field of computer vision. Person ReID aims to identify specific individuals across different camera views, serving as a critical technology in security ...

StyleAdapter: A Unified Stylized Image Generation Model

Information Science, Artificial Intelligence,
stylized image generation   AI-generated content   diffusion model   computer vision   text-to-image synthesis  

StyleAdapter: A Unified Stylized Image Generation Model In recent years, advancements in text-to-image (T2I) generation and deep learning models have significantly driven progress in artificial intelligence for image generation. However, integrating specific styles from reference images into high-quality images generated from textual prompts remain...

Sample Correlation for Fingerprinting Deep Face Recognition

Information Science, Computer Science, Automation, Artificial Intelligence,
sample correlation   deep face recognition   model fingerprinting   model stealing attacks   JPEG compression   intellectual property protection   knowledge distillation  

Report on Academic Paper: “Sample Correlation for Fingerprinting Deep Face Recognition” Background and Research Problem In recent years, the rapid advancements in deep learning technologies have significantly propelled the development of face recognition. However, commercial face recognition models face increasing intellectual property (IP) threats...

A Displacement Uncertainty-Based Method for Multi-Object Tracking in Low-Frame-Rate Videos

Engineering, Electrical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
multi-object tracking   low-frame-rate videos   occlusion handling   uncertainty   optical flow   online tracking   Bayesian deep learning  

The Academic Report on Low-Frame-Rate Multi-Object Tracking Introduction and Research Background In recent years, multi-object tracking (MOT) has been widely applied in intelligent video surveillance, autonomous driving, and robotics vision. However, traditional MOT methods are predominantly designed for high-frame-rate videos and face significant ...

Anti-Fake Vaccine: Safeguarding Privacy Against Face Swapping via Visual-Semantic Dual Degradation

Information Science, Computer Science, Artificial Intelligence,
privacy protection   face swapping   adversarial perturbation   deepfake   visual degradation   semantic degradation  

Deepfake and Facial Privacy Protection: Innovative Research on Anti-Fake Vaccine Background and Motivation In recent years, advancements in deepfake technology have posed severe threats to personal privacy and social security. Facial swapping, a typical application of deepfake technology, is widely used in filmmaking and computer games, but its ris...