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13 Mar 2018: Test-ing was performed on 164 images containing 193 cars,and164 background images. ... Our technique relies on edge features andhigher-resolution training and test images would certainlyimprove results.

24 Jan 2018: Datafrom the Business Language Testing Service (BULATS) Englishtests was used for training and test. ... 10] Lucy Chambers and Kate Ingham, “The BULATS OnlineSpeaking Test,” Research Notes, vol.

13 Mar 2018: Network Multiply-Acc. 109 Test M.A. w/ Aug. 109 Param. 107 Top-5 Acc. ... Test time parameters v.s.top-5 error for state of the art models.

13 Mar 2018: We use the standard train/test splits, and the hand-labeledground truth to train the classifiers. ... Figure 6. MSRC segmentation results. Above: Segmentations on test images using semantic texton forests.

13 Mar 2018: In AFR tests, such methods are usuallyoutperformed by methods from the third class: view-based techniques e.g. ... KLD) [38]. In all tests, both training data for each person in the gallery, as well as test data,consisted of only a single sequence.

13 Mar 2018: However, this test was done by sampling directly from the input frames, no spatial encoder– decoder was used. ... Figure 6 shows the evolution of the training errors forthe above-mentioned architectures, and Table 2 presents the test errors.

13 Mar 2018: At test time we also normalize the quaternion orienta-tion vector to unit length. ... This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting.

13 Mar 2018: Figure 1: Different types of volumetric interest points de-tected on a test shape. ... The V-FAST algorithm performsaccelerated segment tests (AST) on three orthogonal Bre-senham circles.

13 Mar 2018: 100. Figure 4. Test objects. CAD models of the 10 real objects usedfor evaluation. ... test instances per class. We use 10 classes in our evaluation(shown in figure 4), so 1000 tests in all.

13 Mar 2018: Table 1: Comparing the average DNN output error on a test set on the various expressive subsets for three different experiments.Firstly, an experiment where all output layers are trained. ... all landmark points of all test samples is 4.4 pixels. TheRMS

13 Mar 2018: This is illustrated inFig.2, showing examples of image regions around the handtaken from the test sequences. ... Figure 2: Appearance variation of hand regions. Shown. are cropped hand regions from test sequences.

13 Mar 2018: test time, the image is extended toensure a smooth estimate of the semantic textons near theborder. ... Figure 6. MSRC segmentation results. Above: Segmentations on test images using semantic texton forests.

13 Mar 2018: As closely as pos-sible, we use the same training and test sets. ... We test each class individually, pairedwith an equal number of background test images.

13 Mar 2018: 2. Fig. 1. SegNet predictions on urban and highway scene test samples from the wild. ... 1). Some example test resultsproduced on randomly sampled road scene images from Googleare shown in Fig.

13 Mar 2018: The test sequence(seefigure 8 ) consistsof a hollow unit cubewith textured imageson the back threefaces.This configurationwaschosenbecauseit hasa largehollow volumethathasto becarvedaway, and the exterior boundarygives no information aboutthe

13 Mar 2018: test data. The descriptor should also be compact, even for. large data sets. ... divided into training and test sets. All basis vectors were. extracted from the training set.

13 Mar 2018: to distinguish between types of sticker. The system. successfully detected all stickers in a test image set of. ... detection system and test it more extensively, comparing. the inspection performance between manual, fully-.

13 Mar 2018: The V-FAST algorithm performs accel-erated segment tests (AST) on three orthogonal Bresenhamcircles. ... 3.1. Test data. Figure 2: Mesh to volume conversion: Left to right –mesh, point cloud and voxel array.

13 Mar 2018: Int J Comput Vis. Fig. 1 Different types of volumetric interest points detected on a test shape. ... The V-FAST algorithm performs accel-erated segment tests on three orthogonal circles along xy, xzand yz planes.

13 Mar 2018: Givena test image with its feature vector xt, its score for attributeam is given by ϕ(bTm, xt). ... Absolute Classification: This refers to the task of as-signing a test image to its correct class.