Search

Search Funnelback University

Search powered by Funnelback
10 results 20 results 50 results
Relevance Date (Newest first) Date (Oldest first) Title (A-Z) Title (Z-A) Distance URL (A-Z) URL (Z-A) Shuffle
Did you mean economiespast |u:mi.eng.cam.ac.uk?
1 - 10 of 12 search results for Economics test |u:mi.eng.cam.ac.uk where 0 match all words and 12 match some words.

  1. Results that match 1 of 2 words

  2. 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.

  3. CHARLES ET AL.: STYLE2NERF FOR ONE-SHOT SEMANTIC 3D RECONSTRUCTION ...

    mi.eng.cam.ac.uk/~cipolla/archive/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.

  4. 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.

  5. BAE, BUDVYTIS, CIPOLLA: IRONDEPTH 1 IronDepth: Iterative Refinement…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-BMVC-IronDepth-3D-reconstruction-normal.pdf
    13 Mar 2023: GT Depth Distribution (NYUv2). Dep. thFigure 2: (left) This histogram shows the distribution of the ground truth depth inNYUv2 [32] test set. ... Following [35], we set γ = 0.8.Niter is set to 3 during training and 20 at test time.

  6. 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.

  7. BAE, BUDVYTIS, CIPOLLA: IRONDEPTH 1 IronDepth: Iterative Refinement…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-BMVC-IronDepth-3D-reconstruction-normal.pdf
    13 Mar 2023: GT Depth Distribution (NYUv2). Dep. thFigure 2: (left) This histogram shows the distribution of the ground truth depth inNYUv2 [32] test set. ... Following [35], we set γ = 0.8.Niter is set to 3 during training and 20 at test time.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

Refine your results

clear all

Date

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.