Classical Methods: Haar cascades, HOG + SVM, template matching
Deep Learning Models: CNNs, ResNet, EfficientNet, VGG, MobileNet, YOLO, SSD, Faster R-CNN
Generative Models: GANs, VAEs, Diffusion Models for image generation
Vision Transformers (ViT): Transformer-based architectures for vision tasks
Foundation Models: CLIP, DALL-E, Stable Diffusion
