Computer Science
Experimental Result
100%
Deep Learning Method
93%
Face Recognition
67%
Convolutional Neural Network
66%
Object Recognition
62%
Neural Network
59%
Facial Expression
56%
3d Face Recognition
44%
local feature
44%
Deep Neural Network
35%
Point Cloud
32%
Biometrics
31%
Weakly-Supervised Semantic Segmentation
29%
Representation Learning
29%
Image Segmentation
26%
YouTube
25%
Image Captioning
24%
Superior Performance
24%
Annotation
24%
Pose Estimation
22%
Computer Vision
21%
Feature Extraction
21%
face recognition algorithm
20%
Image Classification
19%
Learning System
18%
Recognition Rate
17%
Machine Learning
16%
Art Performance
16%
Action Recognition
16%
Segmentation Method
16%
Performance Evaluation
15%
Discriminative Feature
15%
Learning Framework
15%
Feature Map
15%
Class Activation Mapping
14%
Recognition System
14%
Training Data
14%
Learning Approach
14%
Hash Table
14%
Conditional Random Field
14%
Deep Feature
14%
feature descriptor
13%
Instance Segmentation
13%
Person Re-Identification
13%
Adversarial Machine Learning
13%
Generative Adversarial Networks
13%
Granularity
13%
Gesture Recognition
13%
Object Detection
12%
Temporal Information
12%
Engineering
Deep Learning Method
37%
Experimental Result
29%
Facial Expression
24%
Learning System
24%
Similarities
23%
Convolutional Neural Network
21%
Object Recognition
18%
Metrics
16%
Keypoints
16%
Feature Extraction
14%
Learning Approach
13%
Multiscale
12%
Deep Neural Network
11%
Iterative Closest Point Algorithm
11%
Point Cloud
11%
Loss Function
10%
Computervision
10%
Pose Estimation
10%
Limitations
9%
Recognition Rate
8%
Pixel Level
7%
Gaussians
7%
Artificial Intelligence
7%
Medical Image
6%
Sonar Image
6%
Hidden Layer
6%
Rigid Transformation
6%
Joints (Structural Components)
6%
Face Image
6%
Three-Dimensional Models
5%
Image Data
5%
Face Recognition Approach
5%
Random Field Model
5%
Convolutional Layer
5%