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35 Problems

Cracking CV

13 Easy18 Medium4 Hard

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5 sections

RGB to Grayscale Image Normalize Per-Channel Mean and Std Zero Pad and Center Crop Bilinear Resize Sobel Edge Detection Gaussian Blur 2D

Max Pool 2D Average Pool 2D Adaptive Average Pool 2D Multichannel 2D Convolution Dilated 2D Convolution Depthwise Separable Convolution 2D Transposed Convolution

Pairwise IoU Anchor Box Generation Box Encode and Decode Non-Maximum Suppression Soft Non-Maximum Suppression FPN Top-Down Fusion ROI Align

Sigmoid Focal Loss Dice Loss Generalized IoU Loss Complete IoU Loss MixUp Augmentation CutMix Augmentation Hungarian Matching

ViT Patchify 2D Sinusoidal Positional Embedding ViT Multi-Head Self-Attention Window Partition and Reverse CLIP Cosine Retrieval Mean IoU for Segmentation Top-K Classification Accuracy

Summary

Total35

Easy13

Medium18

Hard4

Progress0%