4 papers
ArtifactLens: Hundreds of Labels Are Enough for Artifact Detection with VLMs
James Burgess, Rameen Abdal, Dan Stoddart +3
Modern image generators produce strikingly realistic images, where only artifacts like distorted hands or warped objects reveal their synthetic origin. Detecting these artifacts is…
Visual Personalization Turing Test
Rameen Abdal, James Burgess, Sergey Tulyakov +1
We introduce the Visual Personalization Turing Test (VPTT), a new paradigm for evaluating contextual visual personalization based on perceptual indistinguishability, rather than id…
Assisted Refinement Network Based on Channel Information Interaction for Camouflaged and Salient Object Detection
Kuan Wang, Yanjun Qin, Mengge Lu +2
Camouflaged Object Detection (COD) stands as a significant challenge in computer vision, dedicated to identifying and segmenting objects visually highly integrated with their backg…
Converting Transformers into DGNNs Form
Jie Zhang, Mao-Hsuan Mao, Bo-Wei Chiu +1
Recent advances in deep learning have established Transformer architectures as the predominant modeling paradigm. Central to the success of Transformers is the self-attention mecha…