Computer Vision and Image Analysis

  1. Deep Learning for Computer Vision
    1. Neural Network Foundations
      1. Artificial Neurons
        1. Perceptron Model
          1. Multi-layer Perceptrons
            1. Universal Approximation
            2. Activation Functions
              1. Sigmoid Function
                1. Hyperbolic Tangent
                  1. ReLU and Variants
                    1. Softmax Function
                    2. Loss Functions
                      1. Mean Squared Error
                        1. Cross-entropy Loss
                          1. Hinge Loss
                            1. Custom Loss Functions
                            2. Optimization
                              1. Gradient Descent
                                1. Stochastic Gradient Descent
                                  1. Mini-batch Training
                                    1. Learning Rate Scheduling
                                  2. Convolutional Neural Networks
                                    1. CNN Architecture
                                      1. Convolutional Layers
                                        1. Pooling Layers
                                          1. Fully Connected Layers
                                            1. Layer Connectivity
                                            2. Convolution Operation
                                              1. Filter Design
                                                1. Stride and Padding
                                                  1. Parameter Sharing
                                                    1. Translation Equivariance
                                                    2. Pooling Operations
                                                      1. Max Pooling
                                                        1. Average Pooling
                                                          1. Global Pooling
                                                            1. Adaptive Pooling
                                                            2. CNN Properties
                                                              1. Local Connectivity
                                                                1. Hierarchical Features
                                                                  1. Receptive Fields
                                                                    1. Feature Maps
                                                                  2. CNN Architectures
                                                                    1. Early Architectures
                                                                      1. LeNet-5
                                                                        1. AlexNet
                                                                          1. Network in Network
                                                                          2. Deep Architectures
                                                                            1. VGGNet
                                                                              1. GoogLeNet
                                                                                1. Inception Modules
                                                                                2. Residual Networks
                                                                                  1. Skip Connections
                                                                                    1. ResNet Variants
                                                                                      1. DenseNet
                                                                                      2. Efficient Architectures
                                                                                        1. MobileNet
                                                                                          1. SqueezeNet
                                                                                            1. EfficientNet
                                                                                          2. Training Deep Networks
                                                                                            1. Data Preparation
                                                                                              1. Data Augmentation
                                                                                                1. Normalization
                                                                                                  1. Dataset Splitting
                                                                                                  2. Regularization
                                                                                                    1. Dropout
                                                                                                      1. Batch Normalization
                                                                                                        1. Weight Decay
                                                                                                          1. Early Stopping
                                                                                                          2. Advanced Optimizers
                                                                                                            1. Momentum
                                                                                                              1. Adam Optimizer
                                                                                                                1. RMSprop
                                                                                                                  1. Learning Rate Adaptation
                                                                                                                  2. Transfer Learning
                                                                                                                    1. Pretrained Models
                                                                                                                      1. Feature Extraction
                                                                                                                        1. Fine-tuning Strategies
                                                                                                                          1. Domain Adaptation
                                                                                                                        2. Image Classification
                                                                                                                          1. Single-label Classification
                                                                                                                            1. Network Design
                                                                                                                              1. Output Layer Configuration
                                                                                                                                1. Training Strategies
                                                                                                                                2. Multi-label Classification
                                                                                                                                  1. Problem Formulation
                                                                                                                                    1. Loss Function Design
                                                                                                                                      1. Evaluation Metrics
                                                                                                                                      2. Few-shot Learning
                                                                                                                                        1. Meta-learning
                                                                                                                                          1. Prototypical Networks
                                                                                                                                            1. Siamese Networks
                                                                                                                                          2. Object Detection
                                                                                                                                            1. Two-stage Detectors
                                                                                                                                              1. R-CNN Family
                                                                                                                                                1. Region Proposal Networks
                                                                                                                                                  1. Feature Pyramid Networks
                                                                                                                                                  2. Single-stage Detectors
                                                                                                                                                    1. YOLO Architecture
                                                                                                                                                      1. SSD Framework
                                                                                                                                                        1. RetinaNet
                                                                                                                                                        2. Detection Components
                                                                                                                                                          1. Anchor Generation
                                                                                                                                                            1. Bounding Box Regression
                                                                                                                                                              1. Classification Heads
                                                                                                                                                                1. Non-maximum Suppression
                                                                                                                                                                2. Evaluation Metrics
                                                                                                                                                                  1. Average Precision
                                                                                                                                                                    1. Mean Average Precision
                                                                                                                                                                      1. Intersection over Union
                                                                                                                                                                    2. Semantic Segmentation
                                                                                                                                                                      1. Fully Convolutional Networks
                                                                                                                                                                        1. Architecture Design
                                                                                                                                                                          1. Upsampling Methods
                                                                                                                                                                            1. Skip Connections
                                                                                                                                                                            2. Encoder-Decoder Architectures
                                                                                                                                                                              1. U-Net
                                                                                                                                                                                1. SegNet
                                                                                                                                                                                  1. DeepLab Family
                                                                                                                                                                                  2. Advanced Techniques
                                                                                                                                                                                    1. Atrous Convolution
                                                                                                                                                                                      1. Pyramid Pooling
                                                                                                                                                                                        1. Attention Mechanisms
                                                                                                                                                                                        2. Instance Segmentation
                                                                                                                                                                                          1. Mask R-CNN
                                                                                                                                                                                            1. FCIS
                                                                                                                                                                                              1. Panoptic Segmentation

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                                                                                                                                                                                          6. Classical Object Recognition

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                                                                                                                                                                                          8. Motion and Video Analysis