• SVMlight

  • Referenced in 262 articles [sw04076]
  • problems, including text classification [Joachims, 1999c][Joachims, 1998a], image recognition tasks, bioinformatics and medical applications...
  • SIMPLIcity

  • Referenced in 87 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 8 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...
  • PASCAL VOC

  • Referenced in 124 articles [sw36507]
  • components: (i) a publicly available dataset of images together with ground truth annotation and standardised ... competition and workshop. There are five challenges: classification, detection, segmentation, action classification, and person layout ... algorithms so that the hard and easy images can be identified...
  • ScatNet

  • Referenced in 19 articles [sw27075]
  • dimensional signals and images, with applications to classifications of audio signals, multifractals and images...
  • Grad-CAM

  • Referenced in 6 articles [sw35098]
  • apply it to off-the-shelf image classification, captioning, and visual question answering (VQA) models ... based architectures. In the context of image classification models, our visualizations (a) lend insights into ... failure modes, (b) are robust to adversarial images, (c) outperform previous methods on localization...
  • 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...
  • DARTS

  • Referenced in 7 articles [sw36213]
  • discovering high-performance convolutional architectures for image classification and recurrent architectures for language modeling, while...
  • DeepFool

  • Referenced in 5 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...
  • HCP

  • Referenced in 3 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...
  • CayleyNets

  • Referenced in 4 articles [sw38090]
  • spectral domain convolutional architectures, on spectral image classification, community detection, vertex classification and matrix completion...
  • Caltech-256

  • Referenced in 52 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...
  • MgNet

  • Referenced in 3 articles [sw35862]
  • some convolutional neural networks (CNN) for image classification and multigrid (MG) methods for solving discretized...
  • CVIPtools

  • Referenced in 15 articles [sw37403]
  • groups of images and multiple combinations of feature extraction and pattern classification parameters. The CVIPlab...
  • PalmPrints

  • Referenced in 2 articles [sw01755]
  • explore an alternative means of hand image classification, one that requires minimal human intervention...
  • Stream-51

  • Referenced in 1 article [sw37990]
  • Stream-51: Streaming Classification and Novelty Detection from Videos. Deep neural networks are popular ... visual perception tasks such as image classification and object detection. Once trained and deployed ... focused on incrementally learning from common image classification datasets broken up into large batches. Online ... dataset for streaming classification consisting of tempo- rally correlated images from 51 distinct object categories...
  • PointNet

  • Referenced in 27 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...
  • XMIPP

  • Referenced in 6 articles [sw21667]
  • single-particle projection images have been added to classification, contrast transfer function correction, angular assignment...
  • 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...
  • Visual Genome

  • Referenced in 1 article [sw32601]
  • progress in perceptual tasks such as image classification, computers still perform poorly on cognitive tasks...