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ENTITY VGGFace2: A Dataset for Recognising Faces across Pose and Age

VGGFace2: A Dataset for Recognising Faces across Pose and Age

PulseAugur coverage of VGGFace2: A Dataset for Recognising Faces across Pose and Age — every cluster mentioning VGGFace2: A Dataset for Recognising Faces across Pose and Age across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 5 TOTAL
  1. TOOL · CL_352437 ·

    New SEAL method protects facial privacy against AI image generation

    Researchers have developed a new method called SEAL (Sparse Encoder Attack on Latent Variance) to protect facial privacy against text-to-image diffusion models. This technique applies sparse adversarial perturbations to…

  2. TOOL · CL_196217 ·

    NullEdit protects images from VLM manipulation with stealthy no-op approach

    Researchers have developed NullEdit, a novel method to protect images from unauthorized manipulation by vision-language models (VLMs). Unlike existing defenses that corrupt images or fail to prevent edits, NullEdit aims…

  3. TOOL · CL_185505 ·

    New diffusion model framework enhances face inpainting with identity preservation

    Researchers have developed a new diffusion model framework called ReSem-Face to improve face inpainting, particularly when dealing with large occlusions and conflicting text guidance. This cascaded diffusion approach in…

  4. RESEARCH · CL_99783 ·

    InfantFace model enhances neonatal face detection in clinical settings

    Researchers have developed InfantFace, a specialized face detection model based on the YOLOv11m architecture, designed for use in neonatal clinical environments. The model addresses challenges like cluttered backgrounds…

  5. TOOL · CL_56545 ·

    New CAP Framework Enhances Privacy Against Personalized Image Synthesis

    Researchers have developed a new framework called Cross-image Anti-Personalization (CAP) to protect against the misuse of personalized text-to-image synthesis models. Existing methods perturb images individually, but CA…