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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: 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.