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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.

9 Apr 2022: Detector. Modality converter𝑓(𝑥). RGB template image label. Synthesised training images. Real test images. ... Test. Train. Converted training images. Converted test images. Large domain shift Reduced domain shift.

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.

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

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.

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.

26 Apr 2022: for building systems which:. 1. Have the ability to test hypotheses.

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.

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.

9 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).

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

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 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

9 Apr 2022: Weuse the 7 test videos (illustrated in Figure 6), and use thesame video naming convention as Jakob S. ... on the 6 gauges from our dataset and the 7 test videos from Jakob S.

9 Apr 2022: This decreases the domain gap between synthetic training dataand real test data [35]. ... Length. Loss functions. At test-time, our measurement and pose prediction pipeline deals with setsof input images.

9 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).

9 Apr 2022: sions seen in challenging test datasets such as 3DPW (illus-. trated in Figure 4, first row). ... We use the test set of 3DPW to evalu-. ate pose prediction accuracy.

9 Apr 2022: Weuse the 7 test videos (illustrated in Figure 6), and use thesame video naming convention as Jakob S. ... on the 6 gauges from our dataset and the 7 test videos from Jakob S.

9 Apr 2022: This decreases the domain gap between synthetic training dataand real test data [35]. ... Length. Loss functions. At test-time, our measurement and pose prediction pipeline deals with setsof input images.

9 Apr 2022: sions seen in challenging test datasets such as 3DPW (illus-. trated in Figure 4, first row). ... We use the test set of 3DPW to evalu-. ate pose prediction accuracy.