• Cityscapes

  • Referenced in 19 articles [sw36624]
  • Cityscapes Dataset for Semantic Urban Scene Understanding. Visual understanding of complex urban street scenes ... context of deep learning. For semantic urban scene understanding, however, no current dataset adequately captures ... approaches for pixel-level and instance-level semantic labeling. Cityscapes is comprised of a large...
  • SemanticKITTI

  • Referenced in 3 articles [sw36653]
  • SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. Semantic scene understanding is important ... driving cars. Despite the relevance of semantic scene understanding for this application, there ... dataset: (i) semantic segmentation of point clouds using a single scan, (ii) semantic segmentation ... using multiple past scans, and (iii) semantic scene completion, which requires to anticipate the semantic...
  • PointNet

  • Referenced in 43 articles [sw31209]
  • from object classification, part segmentation, to scene semantic parsing. Though simple, PointNet is highly efficient ... Theoretically, we provide analysis towards understanding of what the network has learnt...
  • ScanNet

  • Referenced in 6 articles [sw36659]
  • understanding, very little data is available -- current datasets cover a small range of scene views ... have limited semantic annotations. To address this issue, we introduce ScanNet, an RGB-D video ... that includes automated surface reconstruction and crowdsourced semantic annotation. We show that using this data ... several 3D scene understanding tasks, including 3D object classification, semantic voxel labeling, and CAD model...
  • SegNet

  • Referenced in 27 articles [sw27575]
  • deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core ... performance. SegNet was primarily motivated by scene understanding applications. Hence, it is designed...
  • PanoContext

  • Referenced in 3 articles [sw32555]
  • full-view panoramas in scene understanding, and propose a whole-room context model ... major objects inside, together with their semantic categories. Our method generates 3D hypotheses based...
  • ApolloScape

  • Referenced in 6 articles [sw36630]
  • self-localization, parsing the driving road and understanding objects, which enable vehicles to reason ... Compared with existing public datasets from real scenes, e.g., KITTI [2] or Cityscapes [3] , ApolloScape ... much large and richer labelling including holistic semantic dense point cloud for each site, stereo...
  • I2T

  • Referenced in 5 articles [sw36509]
  • image and video content based on image understanding. The proposed I2T framework follows three steps ... image parsing results are converted into semantic representation in the form of Web ontology language ... converts the results from previous steps into semantically meaningful, human readable, and query-able text ... urban scene video surveillance system and a real-time automatic driving scene understanding system...
  • Matterport3D

  • Referenced in 3 articles [sw38209]
  • critical for training RGB-D scene understanding algorithms. However, existing datasets still cover only ... scenes. Annotations are provided with surface reconstructions, camera poses, and 2D and 3D semantic segmentations...
  • EfficientPS

  • Referenced in 1 article [sw39071]
  • EfficientPS: Efficient Panoptic Segmentation. Understanding the scene in which an autonomous robot operates is critical ... Such scene comprehension necessitates recognizing instances of traffic participants along with general scene semantics which...
  • Campus3D

  • Referenced in 1 article [sw39849]
  • point cloud dataset for multiple outdoor scene understanding tasks and also an effective learning framework ... annotations. In addition, we benchmark results of semantic and instance segmentation, which is accessible online...
  • PartNet

  • Referenced in 1 article [sw31210]
  • grained and Hierarchical Part-level 3D Object Understanding. We present PartNet: a consistent, large-scale ... tasks such as shape analysis, dynamic 3D scene modeling and simulation, affordance analysis, and others ... evaluating 3D part recognition: fine-grained semantic segmentation, hierarchical semantic segmentation, and instance segmentation...
  • CGAL

  • Referenced in 394 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • Matlab

  • Referenced in 13544 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • WordNet

  • Referenced in 411 articles [sw01777]
  • WordNet® is a large lexical database of English...
  • L-BFGS

  • Referenced in 806 articles [sw03229]
  • Algorithm 778: L-BFGS-B Fortran subroutines for...
  • UCI-ml

  • Referenced in 3403 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...
  • LIBSVM

  • Referenced in 1185 articles [sw04879]
  • LIBSVM is a library for Support Vector Machines...
  • WEKA

  • Referenced in 305 articles [sw06435]
  • WEKA: Waikato Environment for Knowledge Analysis. WEKA is...