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Computer Science
Experimental Result
100%
Training Data
74%
Annotation
59%
Convolutional Neural Network
42%
Saliency Detection
31%
Source Coding
29%
Object Recognition
25%
Point Cloud
21%
Action Recognition
20%
Attention (Machine Learning)
20%
Image Segmentation
20%
Multiple Instance
18%
Diffusion Model
18%
Deep Learning Method
18%
Pose Estimation
16%
Instance Learning
16%
Feature Extraction
16%
Knowledge Transfer
15%
Object Instance
15%
Multiple Kernel Learning
14%
Object Detector
14%
RGB Image
14%
Object Detection
14%
Conditional Random Field
14%
Image Matching
13%
Feature Selection
13%
Image Retrieval
12%
3D Object Detection
12%
Performance Gain
11%
Learning Framework
11%
Supervised Method
11%
Collaboration
11%
Superpixel
11%
Instance Level
10%
Boosting Algorithms
10%
Multi Class Classification
10%
Multiclass Classification
10%
Computer Vision
10%
Contrastive Learning
9%
Visual Feature
9%
Object Category
9%
Generative Adversarial Networks
9%
Language Modeling
9%
Candidate Object
8%
Data Augmentation
8%
Object Boundary
8%
Regularization
8%
Art Performance
8%
Hough Transforms
8%
Training Sample
8%
Keyphrases
Training Data
27%
Feature Matching
13%
Bounding Box
13%
Weak Supervision
13%
Benchmark Dataset
13%
Multiple Instance Learning
12%
Action Recognition
12%
Homographies
12%
Robust Feature Matching
12%
People Counting
12%
Referring Expression Comprehension
12%
Salient Object Detection
12%
Cancer Risk Prediction
12%
Occlusion Handling
12%
Lung Cancer Risk
12%
Feature Representation
12%
Visual Knowledge
11%
CT Images
11%
Occlusion
11%
State-of-the-art Techniques
11%
Cross-camera
11%
Knowledge Transfer
10%
Diffusion Model
9%
Multiple Descriptors
9%
Descriptor Selection
9%
Feature Selection
9%
RGB-D Video
9%
Regressor
9%
Transformer
8%
Image Deblurring
8%
Graph-based
8%
Image Retrieval
8%
Object Recognition
8%
Kernel Learning
8%
Dependent Features
8%
Superpixel
8%
Face Detection
8%
Diffusion-based
8%
Ensemble Kernels
8%
Video Modality
8%
Subpixel Extraction
8%
Transferable Representation
8%
Hough Transform
8%
Effective Distance
7%
Semantic Segmentation
7%
Source Code
7%
RGB-D
7%
Multi-class Classification
7%
Multiple Kernel Learning
7%
Supervision Signal
7%
