• HCP

  • Referenced in 2 articles [sw28402]
  • deep CNN infrastructure include: 1) no ground-truth bounding box information is required for training...
  • R3P-Loc

  • Referenced in 2 articles [sw22444]
  • number of data samples with ground-truth labels. These properties render the extracted features liable...
  • PerfectDoc

  • Referenced in 1 article [sw17601]
  • PerfectDoc: a ground truthing environment for complex documents. n this paper, we present PerfectDoc ... ground truthing and document correction tool. The tool provides post processing correction capabilities that...
  • BEHAVE video

  • Referenced in 1 article [sw36628]
  • BEHAVE video dataset: ground truthed video for multi-person behavior classification. Although there is much ... time-varying video, there are few ground truthed datasets for assessing multi-person behavioral interactions...
  • dSprites

  • Referenced in 1 article [sw31840]
  • shapes procedurally generated from 6 ground truth independent latent factors. These factors are color, shape...
  • ADT

  • Referenced in 1 article [sw34925]
  • signals, and for the adaptation of ground-truth to the degraded audio. Its main purpose...
  • neurofinder

  • Referenced in 1 article [sw19190]
  • assembled a collection of datasets with ground truth labels, and made a small...
  • SalGAN

  • Referenced in 1 article [sw28155]
  • generative stage and the ground truth ones. Our experiments show how adversarial training allows reaching...
  • RDyn

  • Referenced in 1 article [sw28444]
  • dynamic networks along with time-dependent ground-truth partitions having tunable quality...
  • Paris-Lille-3D

  • Referenced in 1 article [sw36655]
  • large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification...
  • ConfocalGN

  • Referenced in 1 article [sw30680]
  • generate synthetic microscopy stacks from a ground truth (i.e. the observed object) specified...
  • Sim4CV

  • Referenced in 1 article [sw35045]
  • synthetic photo-realistic datasets with automatic ground truth annotations to easily extend existing real-world...
  • Oxford RobotCar

  • Referenced in 1 article [sw36669]
  • GPS/INS receiver. In addition we release ground truth optimised radar odometry to provide an additional...
  • DHSNet

  • Referenced in 1 article [sw36673]
  • trained using whole images and corresponding ground truth saliency masks. When testing, saliency maps...
  • InteriorNet

  • Referenced in 1 article [sw36667]
  • data obtainable without tedious manual ground truth annotations or measurements. Here, we present a dataset...
  • MorphoN

  • Referenced in 1 article [sw34650]
  • loss corresponding to predicted and ground-truth clean image is back-propagated through the network...
  • D-Faust

  • Referenced in 1 article [sw36370]
  • important. Unfortunately, no ground-truth datasets are available for quantitative evaluation and comparison...
  • SLEDGE

  • Referenced in 1 article [sw08379]
  • induces loss with respect to the ground truth. These sequences are then used as training...
  • intRinsic

  • Referenced in 1 article [sw37515]
  • results by comparing them with the ground truth. Then, we employ the package to study...
  • DeLS-3D

  • Referenced in 1 article [sw36651]
  • semantically-labeled. Each video frame has ground truth pose from highly accurate motion sensors...