• 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...