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Supervised Learning
Unsupervised Learning
Deep Learning
Reinforcement Learning
Computer Vision
Edge AI
Foundations & Concepts
15
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Image Preprocessing
18
Spatial / Geometric Transforms
6
Pixel / Colour Transforms
7
Augmentation Strategies
5
▼
Classical CV
22
Edge & Gradient Operators
5
Feature Detectors & Descriptors
9
Matching & Tracking
4
Multi-Scale & Aggregation
4
▼
CNN Architectures
19
Foundational Architectures
4
Inception Family
4
ResNet & Dense Family
4
Efficient Architectures
7
Recognition Tasks
12
▼
Object Detection
21
Detection Concepts
8
Two-Stage Detectors
4
Single-Stage & Modern Detectors
9
▼
Segmentation
16
Segmentation Tasks
4
Segmentation Architectures
8
Segmentation Losses & Metrics
4
Transfer Learning
11
▼
Vision Transformers
19
Core ViT
5
ViT Variants
5
Self-Supervised Visual Learning
9
Video Understanding
11
3D Vision
12
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Two-Stage Detectors
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Two-Stage Detectors
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Fast R-CNN
Faster R-CNN
R-CNN
Cascade R-CNN
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