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  1. Results that match 1 of 2 words

  2. Improving Attention-based Sequence-to-sequence Models

    mi.eng.cam.ac.uk/~mjfg/thesis_qd212.pdf
    5 Jul 2022: B.1.3 Neural Vocoder Pretraining. 160. B.2 Listening Tests. 163. List of figures. ... 162. B.2 Results of the listening tests comparing HRNN, HRNNFT100% andHRNNFT10%; Nick test set.
  3. Scaling digital screen reading with one-shot learning and…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-WACV-scaling-digital-meters.pdf
    9 Apr 2022: Detector. Modality converterđť‘“(đť‘Ą). RGB template image label. Synthesised training images. Real test images. ... Test. Train. Converted training images. Converted test images. Large domain shift Reduced domain shift.
  4. Hierarchical Kinematic Probability Distributions for 3D Human Shape…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-3D-human-shape-in-wild.pdf
    9 Apr 2022: This necessitatesaccurate human silhouette segmentation at test-time, whichmay be challenging to do robustly. ... Finally, we use a synthetic test dataset for our ablationstudies investigating different input representations.
  5. Home Research News Computer vision app allows easier monitoring ...

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2020-Diabetes-Montoring.pdf
    9 Apr 2022: The app uses computer vision techniques to read and record the glucose levels,time and date displayed on a typical glucose test via the camera on a mobilephone.
  6. Paper8-CV-intro.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2022-IB-Paper8-CV-Introduction.pdf
    26 Apr 2022: for building systems which:. 1. Have the ability to test hypotheses.
  7. Estimating and Exploiting the Aleatoric Uncertaintyin Surface Normal…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-surface-normal-uncertainty.pdf
    9 Apr 2022: attenuation. At test time, theexpected angular error is calculated from the estimated dis-tribution, and used as a measure of the aleatoric uncertainty. ... 1)Test-time dropout (Drop): 2D dropout (p = 0.2) is addedafter each 2D convolutional block in
  8. X-MAN: Explaining multiple sources of anomalies in video Stanislaw ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-CVPR-XMAN-anomaly-detection.pdf
    9 Apr 2022: Bottom: Test frame detected as anomalous, showingat least one HOI vector has low probability under the GMM. ... Evaluation metric. All test video frames from alldatasets are marked as either containing or not containing ananomaly.
  9. Home Research News Low-cost AI heart monitor developed by ...

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2018-ECG-Cambridge-Heartwear.pdf
    9 Apr 2022: In 2017, the company secured funding to build and test 100 prototypes of the new heart monitor and to extend its AIcapability.
  10. Hierarchical Kinematic Probability Distributions for 3D Human Shape…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-ICCV-3D-human-shape-in-wild.pdf
    9 Apr 2022: This necessitatesaccurate human silhouette segmentation at test-time, whichmay be challenging to do robustly. ... Finally, we use a synthetic test dataset for our ablationstudies investigating different input representations.
  11. Home Research News Teaching machines to see: new smartphone-based ...

    mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2015-Deep-Learning-SegNet-PoseNet.pdf
    9 Apr 2022: SegNet was primarily trained in highway and urban environments, so it still has some learning to do for rural, snowyor desert environments – although it has performed well in initial tests for

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