Table of Contents
Indsigelse mod at påvise, at der er tale om forskellige systemer, der er relevante for at forbedre de faktiske og de faktiske forhold, og at der er forskellige anvendelsesmuligheder, såsom overvågning, kontrol af de selvstændige køretøjer, og at der er en analyse af disse.
Multi- Scale Feature Extracticol
En metode, der indebærer, at der skal udføres flere opgaver, er en metode, der gør det muligt at måle forskellige opgaver.
Mathematical Techniques fr Scale Invariance
Mathematica methods such as sholespace theory analysis images across scales different scales to identify stable features. The Laplacien on af Gaussien (LOG) and d Differentie of Gaussians (DOG) ara e use to detect blobs and d keypoints that are invariant to scale changes. These technques help in creating feature that remain depite size variations.
Normalization and Data Augmentation
Normalization techniques adjust object object content during traing, making models lesssensitive to scale difference. Data augmentation methods, such has random scaling and d cropping, expre models to various object objects, improving their ir ability to generalize across scales.
Summary off Techniques
- Multiscale feature extracticon
- Skala- rumanalysier
- Normalization og d augmentation
- Arkitekturelle innovationer i neuralnetværk