Quiz 1 Practical Computer Vision ACSE0751.docx

quiz

1.  
Mtech
Integrated Sem VIII
Computer Vision Lab AMISE0801 Quiz SET A
Marks
: 5
Name
: __________________ Roll No :_____________________
Semester
: _________________ Section: ______________________
1)
In augmented reality, computer vision is primarily used to:
A.
Play sound effects
B.
Detect and overlay virtual objects on real-world scenes
C.
Perform mathematical calculations
D.
Store metadata
2Instance
segmentation differs from semantic segmentation because:
A.
It ignores object boundaries
B.
It labels each pixel with a class only
C.
It distinguishes individual instances of the same class
D.
It requires 3D input only
3)
Computer vision is a discipline that studies how to reconstruct, interrupt and understand a
3d
scene from its ________.
A.
1d images
B.
2d images
C.
3d images
D.
4d images
4)
Select CNN is most lightweight and suitable for mobile devices?
A.
VGGNet
B.
MobileNet
C.
ResNet
D.
EfficientNet-B7
5)
Tick the main improvement of EfficientNet over previous CNN models?
A.
Larger filters
B.
Depthwise convolutions
C.
Compound scaling
D.
Residual connections
6)
In 3D computer vision, depth is primarily estimated through:
A.
RGB histograms
B.
Optical flow
C.
Stereo vision or depth sensors
NOIDA INSTITUTE OF ENGINEERING AND
TECHNOLOGY
GREATER NOIDA-201306
(An Autonomous Institute)
Department of Computer Science and Engineering

2. D.
Gradient
descent
MtechIntegrated Sem VIII
Computer Vision Lab AMICSE0801 Quiz SET A
7)
When a transformation takes place on a 2D plane, it is called?
A.
1D transformation
B.
2D transformation
C.
3D transformation
D.
4D transformation
8)
Mark transformation is used, to change the size of an object?
A.
scaling transformation
B.
vector transformation
C.
simple transformation
D.
reflection transformation
9)
List of these is commonly used for transfer learning in vision tasks?
A.
AlexNet
B.
ResNet
C.
VGG16
D.
All of the above
10)
Tick the full form of GAN?
A.
Graphic Analytical Network
B.
General Adversarial Network
C.
Generative Adversarial Network
D.
Generalized Artificial Network
NOIDA INSTITUTE OF ENGINEERING AND
TECHNOLOGY
GREATER NOIDA-201306
(An Autonomous Institute)
Department of Computer Science and Engineering

3. MTech Integrated Sem VIII
Roll No Name Subject
NOIDA INSTITUTE OF ENGINEERING AND
TECHNOLOGY
GREATER NOIDA-201306
(An Autonomous Institute)
Department of Computer Science and Engineering