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Improving Attention-based Sequence-to-sequence Models
mi.eng.cam.ac.uk/~mjfg/thesis_qd212.pdf5 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. -
Scaling digital screen reading with one-shot learning and…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-WACV-scaling-digital-meters.pdf9 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. -
Hierarchical Kinematic Probability Distributions for 3D Human Shape…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-3D-human-shape-in-wild.pdf9 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. -
Estimating and Exploiting the Aleatoric Uncertaintyin Surface Normal…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-surface-normal-uncertainty.pdf9 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 -
Home Research News Computer vision app allows easier monitoring ...
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2020-Diabetes-Montoring.pdf9 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. -
X-MAN: Explaining multiple sources of anomalies in video Stanislaw ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-CVPR-XMAN-anomaly-detection.pdf9 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. -
Paper8-CV-intro.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2022-IB-Paper8-CV-Introduction.pdf26 Apr 2022: for building systems which:. 1. Have the ability to test hypotheses. -
Hierarchical Kinematic Probability Distributions for 3D Human Shape…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-ICCV-3D-human-shape-in-wild.pdf9 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. -
Home Research News Low-cost AI heart monitor developed by ...
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2018-ECG-Cambridge-Heartwear.pdf9 Apr 2022: In 2017, the company secured funding to build and test 100 prototypes of the new heart monitor and to extend its AIcapability. -
PX-NET: Simple and Efficient Pixel-Wise Trainingof Photometric Stereo …
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-PX-NET-photometric-normals.pdf9 Apr 2022: performs realistic computation of global illumination ef-fects. The first dataset is Cycles-PS-Test [16] containing 3objects. ... For completeness, we also in-clude the results after applying the test time rotation pseudo-invariance augmentation (K=10).
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