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1 - 10 of 13 search results for Economics test |u:mi.eng.cam.ac.uk where 0 match all words and 13 match some words.
  1. Results that match 1 of 2 words

  2. Multi-View Depth Estimation by FusingSingle-View Depth Probability…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-CVPR-multiview-depth-fusion.pdf
    13 Mar 2023: ScanNet contains 2.7M views from 1613scans. We use the official data split to train and test themodel. ... We also train and test ourmethod on KITTI [15], both using the Eigen split [12] andthe official split.
  3. Multi-View Depth Estimation by FusingSingle-View Depth Probability…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-CVPR-multiview-depth-fusion.pdf
    13 Mar 2023: ScanNet contains 2.7M views from 1613scans. We use the official data split to train and test themodel. ... We also train and test ourmethod on KITTI [15], both using the Eigen split [12] andthe official split.
  4. More Robust Schema-Guided Dialogue State Tracking via…

    mi.eng.cam.ac.uk/~wjb31/eacl_2023_CR.pdf
    1 Mar 2023: Test set dialogues aregrounded in 6 schemas seen during training and 15unseen ones. ... 6It appears in 4 unseen services in the test set.7Lee et al.
  5. Model-Based Imitation Learning for Urban Driving Anthony Hu1,2…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-NeurIPS-Model-based-imitation-learning-urban-driving.pdf
    13 Mar 2023: To test thishypothesis, we add Gaussian noise to the past latent state during deployment. ... We test whether it is possible to have a 3D tensor as a latent probabilisticstate instead of a 1D vector.
  6. Model-Based Imitation Learning for Urban Driving Anthony Hu1,2…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-NeurIPS-Model-based-imitation-learning-urban-driving.pdf
    13 Mar 2023: To test thishypothesis, we add Gaussian noise to the past latent state during deployment. ... We test whether it is possible to have a 3D tensor as a latent probabilisticstate instead of a 1D vector.
  7. Efficient Large-scale Localization by Global Instance Recognition Fei …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-CVPR-large-scale-localisation-global-instances.pdf
    13 Mar 2023: images. Table 1 demonstrates obvious perfor-mance drop of all methods because of increased test sam-ples. ... Results on RoboCS dataset. We further test our ap-. Group Method Day Nightovercast-summer overcast-winter snow night night-rain.
  8. Efficient Large-scale Localization by Global Instance Recognition Fei …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-CVPR-large-scale-localisation-global-instances.pdf
    13 Mar 2023: images. Table 1 demonstrates obvious perfor-mance drop of all methods because of increased test sam-ples. ... Results on RoboCS dataset. We further test our ap-. Group Method Day Nightovercast-summer overcast-winter snow night night-rain.
  9. Discrete neural representations for explainable anomaly detection…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-WACV-anomaly-detection.pdf
    13 Mar 2023: Anomaly detection metric. All test video frames from alldatasets are marked as either containing or not containing ananomaly.
  10. Discrete neural representations for explainable anomaly detection…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-WACV-anomaly-detection.pdf
    13 Mar 2023: Anomaly detection metric. All test video frames from alldatasets are marked as either containing or not containing ananomaly.
  11. CHARLES ET AL.: STYLE2NERF FOR ONE-SHOT SEMANTIC 3D RECONSTRUCTION ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-BMVC-Style2Nerf.pdf
    13 Mar 2023: Example results of Style2NeRF applied to test input images from SRN-Cars is shown in Figure 6 (more in supplementary). ... Pose estimation. Pose estimation accuracy is evaluated on all test images from SRN-Carsand RealCars.

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