Datasets:

yyyyifan

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flowlearn_test

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Scene ontology contains 2 Layers (L).True or False?

False

A skill can not depend on other skill.True or False?

False

Comparison is part of pose analysis. The statement is true or false?

True

Suggestive viewpoint is sent to User Interface as a part of feedback. The statement is true or false?

True

Pose normalization is part of pose analysis.True or False?

False

Suggestive viewpoint is sent to video processing as a part of feedback.True or False?

False

Ground set of domains is the input of randomly sampling. The statement is true or false?

True

Level-one-sampling outputs batches inside sampled domains. The statement is true or false?

True

Ground set of domains is the output of randomly sampling.True or False?

False

Level-two-sampling outputs batches inside sampled domains.True or False?

False

Linear layer is before Tanh. The statement is true or false?

True

Softmax is done at the end. The statement is true or false?

True

Linear layer is after Tanh.True or False?

False

Softmax is done at the beginning.True or False?

False

Illustration of stacked hourglass STGCN with two levels. The statement is true or false?

True

Convolution and Deconvolution happens in both stacks. The statement is true or false?

True

Illustration of stacked hourglass STGCN with three levels.True or False?

False

Convolution and Deconvolution happens only in stack 1.True or False?

False

Left: The DM particle enters the bulk of the sun with an angle θ, collides with solar electrons and finally escapes from the Sun. The statement is true or false?

True

Right: The flux of reflected DM particles can be approximated as propagating along the radial direction from the center of the Sun. The statement is true or false?

True

Right: The DM particle enters the bulk of the sun with an angle θ, collides with solar electrons and finally escapes from the Sun.True or False?

False

Right: The flux of reflected DM particles can be approximated as propagating along the radial direction from the center of the Earth.True or False?

False

The evaluation process of a framework can be divided into two parts: training (top) and testing (bottom). The statement is true or false?

True

In the training phase, we first fix the architecture of the selected network (ResNet-50). The statement is true or false?

True

In the testing phase, we apply the same preprocessing as in the training phase and employ paired feature fusion to make use of the correlation between the two eyes (the training step of the fusion network is omitted in this figure). The statement is true or false?

True

Then, we select the best ensemble method for the final prediction. The statement is true or false?

True

The evaluation process of a framework can be divided into two parts: training (bottom) and testing (top).True or False?

False

In the training phase, we first fix the architecture of the selected network (ResNet-34).True or False?

False

Our model consists of parsing generator and image generator, training parsing generator requires a pair of source-target images IS , IT , then obtaining human keypoints KS ,KT and human parsing map PS , PT respectively by using openpose and PGN framework. The statement is true or false?

True

We concatenate KS , PS ,KT as the input of parsing generator, then the input is fed into an Unet-type network that generates a target parsing map with the same size of PT , which contains body shape information. The statement is true or false?

True

To get the vivid image with detailed texture (e.g.style of clothing), we extract the Per-region feature information PSj from the source image via VGG type network, then we concatenate the parsing map to the above KS , PS ,KT and normalize it along with the region information PSj to combine the information of source texture and target parsing map. The statement is true or false?

True

Finally, the target image can be generated by spatial normalization and decoder. The statement is true or false?

True

Our model consists of point generator and image generator, training point generator requires a pair of source-target images IS , IT , then obtaining human keypoints KS ,KT and human parsing map PS , PT respectively by using openpose and PGN framework.True or False?

False

We concatenate KS , PS ,KT as the input of Image generator, then the input is fed into an Unet-type network that generates a target parsing map with the same size of PT , which contains body shape information.True or False?

False

Feature embeddigs (FE) are extracted by the CNN’s non-linear layers and are combined with the final classification layer weights to form classification layer embeddings (CLE), before they are summed. The statement is true or false?

True

The input image is at dimension 3 x 32 x 32. The statement is true or false?

True

Feature embeddigs (FE) are extracted by the CNN’s linear layers and are combined with the final classification layer weights to form classification layer embeddings (CLE), before they are summed.True or False?

False

The input image is at dimension 3 x 64 x 64.True or False?

False

(a) shows the overall picture of the proposed model, and (b) shows the details of the Twin-Transformers. The statement is true or false?

True

Illustration of the proposed Twin-Transformers framework. The statement is true or false?

True

(a) shows the details of the Twin-Transformers, and (b) shows the overall picture of the proposed model.True or False?

False

Illustration of the proposed Twin-CNN framework.True or False?

False

There can be multiple calibrating steps. The statement is true or false?

True

There is an init step. The statement is true or false?

True

There can not be multiple calibrating steps.True or False?

False

There is no init step.True or False?

False

The near-RT RIC connects to the RAN through the E2 interface, at the bottom of the figure (yellow), and to the non-RT RIC/SMO through the A1 and O1 interfaces, at the top of the figures (orange and green, respectively). The statement is true or false?

True

The near-RT RIC can onboard custom logic as xApps (dark blue). The statement is true or false?

True

The near-RT RIC connects to the RAN through the E2 interface, at the bottom of the figure (yellow), and to the non-RT RIC/SMO through the A1 and O1 interfaces, at the top of the figures (orange and blue, respectively).True or False?

False

The near-RT RIC can onboard custom logic as xApps (orange).True or False?

False

The SMO functionalities (in green) enable connectivity to the O-Cloud (through the O2 interface) and the other RAN components (through O1) for management and orchestration. The statement is true or false?

True

The non-RT RIC features custom logic (rApps, in red), and a termination of the A1 interface to the near-RT RIC (orange). The statement is true or false?

True

The SMO functionalities (in orange) enable connectivity to the O-Cloud (through the O2 interface) and the other RAN components (through O1) for management and orchestration.True or False?

False

The RT RIC features custom logic (rApps, in blue), and a termination of the A1 interface to the near-RT RIC (orange).True or False?

False

The input is colored point cloud. The statement is true or false?

True

Semantic Encoder and Decoder is part of KP-FCNN. The statement is true or false?

True

The output is colored point cloud.True or False?

False

Semantic Encoder and Decoder is part of NetVLAD Layer.True or False?

False

Figure 1: Hierarchical question answering: the model first selects relevant sentences that produce a document summary (d̂) for the given query (x), and then generates an answer (y) based on the summary (d̂) and the query x. The statement is true or false?

True

Query (x) is an input of RNN. The statement is true or false?

True

Hierarchical question answering: the model first selects relevant sentences that produce a document summary (d̂) for the given query (x), and then generates an document (d) based on the summary (d̂) and the query x.True or False?

False

Query (x) is an output of RNN.True or False?

False

Dialogue History is used for generating Answer. The statement is true or false?

True

AVSD Task includes Caption. The statement is true or false?

True

Dialogue History is not used for generating Answer.True or False?

False

AVSD Task does not includes Caption.True or False?

False

The algorithm starts with Random Sampling. The statement is true or false?

True

The algorithm ends with Surrogate Model. The statement is true or false?

True

The algorithm ends with Random Sampling.True or False?

False

The algorithm starts with Surrogate Model.True or False?

False

Radioprobes sent radio link to base stations. The statement is true or false?

True

There are multiple base stations. The statement is true or false?

True

Processing machine sent radio link to base stations.True or False?

False

There is only one base station.True or False?

False

The input is Problem Domain. The statement is true or false?

True

High Level Processing contains Recognition and Interpretation. The statement is true or false?

True

The output is Problem Domain.True or False?

False

Low Level Processing contains Recognition and Interpretation.True or False?

False

Given a sequence of graph snapshots G = {G(t−tk), ...,G(t)}, whose length is k, test quadruples at t+ ∆T are to be predicted. The statement is true or false?

True

There are k steps of prediction. The statement is true or false?

True

Given a sequence of graph snapshots G = {G(t−tk),.True or False?

False

,G(t)}, whose length is t steps, test quadruples at t+ ∆T are to be predicted.True or False?

False

Both discriminators have input layers. The statement is true or false?

True

Both Discriminator follows full-connected architecture. The statement is true or false?

True

Only PacGAN2 discriminators have input layers.True or False?

False

Both Discriminator follows full-connected architecture.True or False?

False

Content is both the input and output of transformers. The statement is true or false?

True

Aggregation based Explicit Transformer uses Softmax. The statement is true or false?

True

Content is not the output of transformers.True or False?

False

Modulation based Implicit Transformer uses Softmax.True or False?

False

Code snippet is used to calculate the mutation score. The statement is true or false?

True

If the same is not elite, refactor the input with a mutation rate. The statement is true or false?

True

Code snippet is an output of calculating the mutation score.True or False?

False

If the same is elite, refactor the input with a mutation rate.True or False?

False

LEO Layer is between 2000km and 200 km. The statement is true or false?

True

GEO layer is above MEO Layer. The statement is true or false?

True

LEO Layer is between 12000km and 2000 km.True or False?

False

GEO layer is below MEO Layer.True or False?

False

Optical Link does not happen between Stand-alone HAP and Remote Area. The statement is true or false?

True

HAPs Network exchanges RF Link with a swarm of UAVS. The statement is true or false?

True