Very complete summary of machine vision research direction, according to the technical principle, according to the application scene.
From: studyai.com/article/70f…
PS: If MarkDown does not support TOC and TOCM title preview, you can visit the above address for a clearer classification structure.
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Images and video
The image processing
Image classification
Single label classification, multi-label classification, fine granularity classification
Object detection and segmentation
Detection and location, semantic segmentation, instance segmentation, panoramic segmentation
Image super-resolution reconstruction
Image restoration and enhancement
Get rid of fog, get rid of rain, strengthen
Image q&A and description
Image and video retrieval
Video content analysis
Visual target tracking
Figure neural network GNN
Generative adversarial GAN
AutoML & NAS
Automatic machine learning, neural architecture search
Network compression and lightweight
Binocular multiocular vision
Multi-source fusion vision
Visible light imaging, infrared imaging, radar imaging
Medical imaging analysis
Recognition, reconstruction, segmentation, registration
Remote sensing and aerial image analysis
Industrial visual inspection
Defect detection, counting, dimension measurement
Intelligent autonomous driving
Lane line detection, traffic sign detection, vehicle detection, license plate recognition, vehicle attribute recognition, ADAS, etc
SLAM and Robotics
Autonomous positioning, navigation and real-time map building
3D point cloud and 3D reconstruction
Human technology related
Human fingerprint identification
Human gesture recognition
Body pose estimation
Human motion detection
The human body is fitted and replaced
Human clothing collocation, dressing style finalize the design, human clothing exchange, etc
Pedestrian detection and recognition
Pedestrian detection, pedestrian rerecognition ReID, gait recognition, crowd counting
Face technology correlation
Facial skin care
Face detection
Face alignment
Face verification
Face to retrieve
Attribute recognition
Facial expression recognition
Live testing
Face exchange
Iris recognition
Major Software tools
OpenCV
TensorFlow
PyTorch
PIL
SKI-Image
Matlab
Primary data set
Part of the data set is shown below
Each dataset comes with an official download address and simple instructions,
To view all dataset information, you can reply dataset inside the public account.
** kiss a sweep, check ** at any time