Rigid and articulated objects are common in our daily lives. Pose estimation tasks for both
types of objects have been extensively studied within their respective domains. However, a …

With the rapid development of image editing techniques, forensic analysis to detect
malicious image manipulation has become an important research topic. The current image …

In the electric power scene, fasteners play a pivotal role in securing and connecting
electrical equipment, with small fastener detection (SFD) being crucial for ensuring …

Image manipulation detection and localization (IMDL) aim to identify tampered regions from
a suspicious image. Although existing works have achieved impressive results, they fail to …

Image forgery localization, which aims to segment tampered regions in an image, is a
fundamental yet challenging digital forensic task. While some deep learning-based forensic …

Image forgery localization (IFL) is a crucial technique for preventing tampered image misuse
and protecting social safety. However, due to the rapid development of image tampering …

1Zhejiang University, A1033439225@ gmail. com 2Xi'an Jiaotong-Liverpool University,
Tianyang. Wang21@ student. xjtlu. edu. cn 3Emory University, songxinyuan@ pku. edu. cn …

Reinforcement Learning (RL) is a distinct branch of machine learning focused on how
agents should take actions in an environment to maximize cumulative rewards [38]. Unlike …

Deep learning is a subset of machine learning that models data using artificial neural
networks with multiple layers [105]. Each layer in the neural network processes the input …