Quiz 2

BSDA5006

11 Internal Entities Declared
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187 - CNN Fundamentals- Convolution, Pooling, and Architecture Design
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188 - ResNet, Skip Connections, and Deep Network Design
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189 - Transfer Learning for Computer Vision
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190 - Object Detection- R-CNN, YOLO, and SSD
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191 - Semantic and Instance Segmentation- FCN, U-Net, Mask R-CNN
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192 - GANs for Computer Vision- Generator, Discriminator, DCGAN, CGAN, WGAN, CycleGAN
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193 - Data Augmentation- Transformations, MixUp, CutMix, RandAugment, AutoAugment
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194 - Vision Transformers (ViT) and Attention for Images
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195 - Image Processing- Gradients, Filtering, Edge Detection, Frequency Domain, Histograms
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196 - Diffusion Models for CV- DDPM, Noise Scheduling, U-Net for Denoising, Sampling
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197 - BSDA5006 — Deep Learning for Computer Vision (DL-CV)
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