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Deep Learning in Computer Vision - Coggle Diagram
Deep Learning in Computer Vision
A Contemporary Challenge – Complex Scene Interpretation
PASCAL VOC
Object Recognition by Machine Learning
Hand-Crafted Imagery Features
SIFT
Spin image
HoG
Textons
SURF
LBP
Color-SIFT
Color histogram
DPM
Selective search
MKL
DPM++
Object Recognition as Multi-Class Detections by DPM
Detection: Localisation voting for multiple objects
NMS: Non-Maximum Suppression
DPM – Deformable Parts-based Model
Attributes as Parts
Junctions
Corners
Parallelism
Domain Generalisation
Few-Shot Learning (FSL)
Zero-Shot Learning
Image Super Resolution
PPI - Pixel Per density
Image Interpolation
Super Resolution
bicubic scaling
super resolution
Possible Solution
External
Internal
Transforms
Learning based solution
