• DeepFace

  • Referenced in 22 articles [sw21625]
  • level performance in face verification. In modern face recognition, the conventional pipeline consists of four ... alignment step and the representation step by employing explicit 3D face modeling in order ... piecewise affine transformation, and derive a face representation from a nine-layer deep neural network ... more than 4, 000 identities. The learned representations coupling the accurate model-based alignment with...
  • FaceNet

  • Referenced in 26 articles [sw21626]
  • triplets of roughly aligned matching / non-matching face patches generated using a novel online triplet ... much greater representational efficiency: we achieve state-of-the-art face recognition performance using only...
  • InfoGAN

  • Referenced in 22 articles [sw40936]
  • Network that is able to learn disentangled representations in a completely unsupervised manner. InfoGAN ... CelebA face dataset. Experiments show that InfoGAN learns interpretable representations that are competitive with representations...
  • MONA

  • Referenced in 133 articles [sw06170]
  • remarkably efficient in practice, even though it faces a theoretically non-elementary worst-case complexity ... valued logic, eager minimization, BDD-based automata representations, and cache-conscious data structures. We describe...
  • AdaCos

  • Referenced in 3 articles [sw37053]
  • Cosine Logits for Effectively Learning Deep Face Representations. The cosine-based softmax losses and their ... achieve great success in deep learning based face recognition. However, hyperparameter settings in these losses...
  • VIPLFaceNet

  • Referenced in 1 article [sw21624]
  • Source Deep Face Recognition SDK. Robust face representation is imperative to highly accurate face recognition ... propose an open source face recognition method with deep representation named as VIPLFaceNet, which ... error rate on the real-world face recognition benchmark LFW. Our VIPLFaceNet achieves 98.60% mean...
  • COMA

  • Referenced in 1 article [sw36369]
  • Convolutional Mesh Autoencoders. Learned 3D representations of human faces are useful for computer vision problems ... such as 3D face tracking and reconstruction from images, as well as graphics applications such ... Traditional models learn a latent representation of a face using linear subspaces or higher-order ... that learns a non-linear representation of a face using spectral convolutions on a mesh...
  • MagFace

  • Referenced in 1 article [sw39589]
  • MagFace: A Universal Representation for Face Recognition and Quality Assessment. The performance of face recognition...
  • GSNet

  • Referenced in 1 article [sw39265]
  • detail (1352 vertices and 2700 faces). This dense mesh representation further leads us to consider...
  • Buckygen

  • Referenced in 2 articles [sw21207]
  • dual representation is used: cubic plane graphs where all faces are pentagons or hexagons...
  • IQ-Meter

  • Referenced in 1 article [sw33099]
  • exchanges data across different representations. Nowadays, data architects are faced with a large variety...
  • Attribute2Image

  • Referenced in 5 articles [sw24589]
  • encoder. We experiment with natural images of faces and birds and demonstrate that the proposed ... realistic and diverse samples with disentangled latent representations. We use a general energy minimization algorithm...
  • MACEK

  • Referenced in 7 articles [sw12052]
  • routines for reasonably efficient combinatorial computations with representable matroids, especially for matroid constructions ... with everyday routines that a matroid-researcher faces (almost) every day, and to allow ... version 1.1.x also abstract tests for representability and for isomorphism are available. More functions...
  • ArcFace

  • Referenced in 5 articles [sw33958]
  • Convolutional Neural Networks (DCNNs) for large-scale face recognition is the design of appropriate loss ... connected layer can be used as a representation of the class centres in an angular ... established loss functions in order to maximise face class separability. In this paper, we propose...
  • mics-library

  • Referenced in 1 article [sw40344]
  • representation towards Low- and Middle Income Countries (LMIC), yet the issues faced by these countries...
  • SerAPI

  • Referenced in 1 article [sw32314]
  • face, providing a uniform and data-centric way to access term representations, proof state...
  • ExplicitPRISMSymm

  • Referenced in 2 articles [sw13369]
  • models perform well at property checking, but face hurdles in model construction. We present ... reduces build time and thus explicit model representation as an efficient alternative to symbolic model...
  • PAT

  • Referenced in 3 articles [sw34502]
  • next generation of high-performance computers is faced with a challenge-how to exploit applications ... windows for their graphics interface. The internal representation and I/O of multitasking primitives have been...
  • DesertFD

  • Referenced in 2 articles [sw06586]
  • computer based systems increases, designers are faced with the task of balancing a variety ... design space exploration tool which facilitates the representation and pruning of a design space using...
  • Picture

  • Referenced in 1 article [sw26705]
  • bottom-up data-driven methods. Thus both representations and inference strategies can build directly ... Picture to write programs for 3D face analysis, 3D human pose estimation, and 3D object...