• SVMlight

  • Referenced in 259 articles [sw04076]
  • problems, including text classification [Joachims, 1999c][Joachims, 1998a], image recognition tasks, bioinformatics and medical applications...
  • SIMPLIcity

  • Referenced in 85 articles [sw14893]
  • picture libraries), an image retrieval system, which uses semantics classification methods, a wavelet-based approach ... extraction, and integrated region matching based upon image segmentation. An image is represented...
  • CNN-RNN

  • Referenced in 5 articles [sw28401]
  • Unified Framework for Multi-label Image Classification. While deep convolutional neural networks (CNNs) have shown ... great success in single-label image classification, it is important to note that real world ... image. Traditional approaches to multi-label image classification learn independent classifiers for each category ... employ ranking or thresholding on the classification results. These techniques, although working well, fail...
  • ScatNet

  • Referenced in 16 articles [sw27075]
  • dimensional signals and images, with applications to classifications of audio signals, multifractals and images...
  • ilastik

  • Referenced in 7 articles [sw08747]
  • simple, user-friendly tool for image classification and segmentation in up to three spatial ... dimension. Using it requires no experience in image processing. ilastik has a convenient mouse interface...
  • DeepFool

  • Referenced in 4 articles [sw20937]
  • have achieved impressive results on many image classification tasks. However, these same architectures have been ... small, well sought, perturbations of the images. Despite the importance of this phenomenon, no effective...
  • Caltech-256

  • Referenced in 50 articles [sw30598]
  • artifacts due to image rotation are avoided and d) a new and larger clutter category ... suggest several testing paradigms to measure classification performance, then benchmark the dataset using two simple...
  • HCP

  • Referenced in 2 articles [sw28402]
  • Flexible CNN Framework for Multi-Label Image Classification. Convolutional Neural Network (CNN) has demonstrated promising ... performance in single-label image classification tasks. However, how CNN best copes with multi-label...
  • Visual Genome

  • Referenced in 2 articles [sw32601]
  • progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks...
  • PalmPrints

  • Referenced in 2 articles [sw01755]
  • explore an alternative means of hand image classification, one that requires minimal human intervention...
  • MRESVM

  • Referenced in 1 article [sw23457]
  • based distributed SVM ensemble for scalable image classification and annotation. A combination of classifiers leads ... with bagging have shown better performance in classification than a single SVM. However, the training ... based distributed SVM ensemble algorithm for scalable image annotation which re-samples the training dataset ... bootstrapping is introduced to increase the classification accuracy. MRESVM is evaluated in both experimental...
  • ktrain

  • Referenced in 1 article [sw33372]
  • domain question-answering), vision data (e.g., image classification), and graph data (e.g., node classification, link...
  • ADMM-Softmax

  • Referenced in 1 article [sw32744]
  • problems. Our method is geared toward supervised classification tasks with many examples and features ... easily parallelized across examples. For two image classification problems, we demonstrate that ADMM-Softmax leads...
  • DarkneTZ

  • Referenced in 1 article [sw32543]
  • using two small and six large image classification models. Due to the limited memory...
  • Chiron

  • Referenced in 1 article [sw32566]
  • deep learning models, focusing on benchmark image classification tasks such as CIFAR and ImageNet...
  • XMIPP

  • Referenced in 5 articles [sw21667]
  • single-particle projection images have been added to classification, contrast transfer function correction, angular assignment...
  • SUCRAGE

  • Referenced in 3 articles [sw12332]
  • Knowledge based supervised fuzzy-classification: an application to image processing. In this paper, we take ... measuring imprecision, combined with the uncertainty of classification decisions represented by belief degrees, drives ... real application in the field of image processing. The obtained results are very satisfactory. They...
  • PointNet

  • Referenced in 17 articles [sw31209]
  • Deep Learning on Point Sets for 3D Classification and Segmentation. Point cloud is an important ... regular 3D voxel grids or collections of images. This, however, renders data unnecessarily voluminous ... unified architecture for applications ranging from object classification, part segmentation, to scene semantic parsing. Though...
  • dpmixsim

  • Referenced in 3 articles [sw24713]
  • Process Mixture (DPM) model for clustering and image segmentation. The DPM model is a Bayesian ... applications are oriented towards the classification of magnetic resonance images according to tissue type...
  • MaZda

  • Referenced in 3 articles [sw13617]
  • complete path for quantitative analysis of image textures, including computation of texture features, procedures ... extraction, algorithms for data classification, various data visualization and image segmentation tools. Initially, MaZda...