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1 - 18 of 18 search results for Economics test |u:mi.eng.cam.ac.uk where 2 match all words and 16 match some words.

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  2. Who Left the Dogs Out?3D Animal Reconstruction with Expectation ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ECCV-3D-dog-reconstruction.pdf
    28 Jun 2021: 3. We use easily obtained 2D annotations in training, and none at test time. ... or rely heavily on input 2Dkeypoints or video at test-time [31, 28].

  3. Who Left the Dogs Out?3D Animal Reconstruction with Expectation ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ECCV-3D-dog-reconstruction.pdf
    28 Jun 2021: 3. We use easily obtained 2D annotations in training, and none at test time. ... or rely heavily on input 2Dkeypoints or video at test-time [31, 28].

  4. Results that match 1 of 2 words

  5. ANALYSING BIAS IN SPOKEN LANGUAGE ASSESSMENT USINGCONCEPT ACTIVATION…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/wei_ICASSP2021.pdf
    22 Jul 2021: In addition, therecording conditions and levels of background noise can vary con-siderably across countries and test centres. ... Scores for each sec-tion of the test were generated by trained graders, operating withinlocal test centers.

  6. FootNet: An Efficient Convolutional Network forMultiview 3D Foot…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-CNN-foot-reconstruction.pdf
    28 Jun 2021: Table 3: Average length and width errors (mm) on real val/test data. ... Pool at test timePredicted segmentation Hand segmentationLength error Width error Length error Width error.

  7. Efficient Large-Scale Semantic VisualLocalization in 2D Maps Tomas…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-Large-scale-localization.pdf
    28 Jun 2021: At test time, this embedding is extractedfrom a panoramic building instance label and depth images. ... database of embeddings of the test environmentlocations to retrieve the most similar location.

  8. Embodied Visual Navigation With Automatic Curriculum Learning in Real …

    mi.eng.cam.ac.uk/~cipolla/publications/article/2021-RA-embodied-visual-navigation.pdf
    28 Jun 2021: Plotsrepresent the mean and standard deviation of a single train/test scene over fivetrials. ... Fig. 4. (4a) Validation SPL over five trials on a single test-train environment.

  9. FootNet: An Efficient Convolutional Network forMultiview 3D Foot…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-CNN-foot-reconstruction.pdf
    28 Jun 2021: Table 3: Average length and width errors (mm) on real val/test data. ... Pool at test timePredicted segmentation Hand segmentationLength error Width error Length error Width error.

  10. Rotation Equivariant Orientation Estimation forOmnidirectional…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-Rotation-equivariant-localisation.pdf
    28 Jun 2021: In summary, we use all 1413 real imagesas well as their rendered counterparts as test data. ... We test on two versions oftest data: one with original orientations and one with random orientations.

  11. Efficient Large-Scale Semantic VisualLocalization in 2D Maps Tomas…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-Large-scale-localization.pdf
    28 Jun 2021: At test time, this embedding is extractedfrom a panoramic building instance label and depth images. ... database of embeddings of the test environmentlocations to retrieve the most similar location.

  12. Embodied Visual Navigation With Automatic Curriculum Learning in Real …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2021-RA-embodied-visual-navigation.pdf
    28 Jun 2021: Plotsrepresent the mean and standard deviation of a single train/test scene over fivetrials. ... Fig. 4. (4a) Validation SPL over five trials on a single test-train environment.

  13. Rotation Equivariant Orientation Estimation forOmnidirectional…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-Rotation-equivariant-localisation.pdf
    28 Jun 2021: In summary, we use all 1413 real imagesas well as their rendered counterparts as test data. ... We test on two versions oftest data: one with original orientations and one with random orientations.

  14. LOGOTHETIS ET AL.: A CNN BASED APPROACH FOR THE ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-BMVC-CNN-NF-Photometric-Stereo.pdf
    28 Jun 2021: In addition, since during test time the observation map samplespace is highly limited due to a fixed LED capture setup, we render our trainingobservational maps from a virtual copy of this ... In order to solve the near-field PS problem for aspecific

  15. Deep Learning for Automatic Assessment and Feedback of Spoken English

    mi.eng.cam.ac.uk/~mjfg/thesis_kk492.pdf
    17 Nov 2021: and evaluated on corresponding test sets. 1176.6 Expert human scores vs predictions by AttLSTM deep intonation grader,.

  16. LOGOTHETIS ET AL.: A CNN BASED APPROACH FOR THE ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-BMVC-CNN-NF-Photometric-Stereo.pdf
    28 Jun 2021: In addition, since during test time the observation map samplespace is highly limited due to a fixed LED capture setup, we render our trainingobservational maps from a virtual copy of this ... In order to solve the near-field PS problem for aspecific

  17. Deep Multi-View Stereo for Dense 3DReconstruction from Monocular…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-MICCAI-deep-MVS-endoscopic-vision.pdf
    28 Jun 2021: The sequences from 40 videos areused to train, validate and test the depth estimation network and the patch em-bedding network.

  18. Deep Multi-View Stereo for Dense 3DReconstruction from Monocular…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-MICCAI-deep-MVS-endoscopic-vision.pdf
    28 Jun 2021: The sequences from 40 videos areused to train, validate and test the depth estimation network and the patch em-bedding network.

  19. Predicting Semantic Map Representations From Images Using Pyramid…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-CVPR-Predicting-Semantic-Map-Representations.pdf
    28 Jun 2021: Note that this information would. not be available to a real monocular system at test time,.

  20. Predicting Semantic Map Representations From Images Using Pyramid…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-CVPR-Predicting-Semantic-Map-Representations.pdf
    28 Jun 2021: Note that this information would. not be available to a real monocular system at test time,.

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