Review Article

A State-of-the-Art Computer Vision Adopting Non-Euclidean Deep-Learning Models

Table 2

Various applications of computer visions based on geometric deep learning.

ApplicationsReferencesEmployment

Object detection[109]Salient object detection
[110]Agile formation control of drone flocking
[111]Online semantic mapping system
[112]Nonlinear estimation in robotics and vision
[113]Degree of disease in citrus fruits
[114]Network model suitable for indoor mobile robots
[115]3D object detection using point clouds
[116]Detecting visual relations and scene parsing
[117]Detecting 3D objects from noisy point clouds
[118]Robust label propagation for saliency detection
[119]Weakly supervised object detection
[120]Detection of distinct objects like seed selection
[121]Segmentation of rivers for autonomous surface vehicles
[122]3D scene perception
[123]City object detection from airborne LiDAR data
[124]Nonmaximal suppression product detection on the shelf
[125]LiDAR-based three-dimensional mapping in urban environments
[126]3D multiobject tracking in point clouds

2D image processing[127]Topic scene graphs for image captioning
[128]Text-based visual question answering
[129]Single-image 3D reconstruction
[130]Laser-based surface damage detection and quantification
[131]Smooth manifold triangulation
[132]Deep virtual stereo odometry

Hyperspectral imaginary[133]Enhanced discriminative broad learning system
[134]Spectral-spatial clustering of hyperspectral image
[135]Geometric knowledge embedding
[136]Hyperspectral and multispectral image fusion
[137]Hyperspectral unmixing
[138]Remote sensing image scene graph generation

Medical imaging[139]Brain graph synthesis
[140]Personalized brain-computer interfaces
[141]Estimating connectional brain templates
[142]Postmenstrual age prediction based on the neonatal white matter cortical surface
[143]Detecting brain state changes
[144]Predicting isomorphic brain graph
[145]Detecting and forecasting spatiotemporal anomalies
[146]Large lung motion in COPD patients
[147]Data-driven personalized cervical cancer risk prediction
[148]Potential drug-virus interactions against SARS-CoV-2
[149]Epileptic seizure prediction using scalp EEG signals
[150]Human connectome project multimodal cortical parcellation
[151]Intelligent health state diagnosis

Face recognition[152]Skin lesion segmentation from dermoscopic images
[153]Learning to cluster faces
[154]Facial expression recognition method for identifying and recording emotion
[155]Occluded face detection
[156]Face anonymization with pose preservation
[157]Consumer affect recognition using thermal facial ROIs
[158]Criminal person recognition
[159]Facial action unit detection
[160]Masked face detection
[161]Drunkenness face detection
[162]Face detection and recognition
[163]Driver drowsiness detection
[164]Large-scale face clustering
[165]Detection of facial action units
[166]Facial expression recognition

Action and activity recognition[167]Multiactor activity detection
[168]One-shot video graph generation
[169]Online graph depictions for tracking multiple 3D objects
[170]Event stream classification
[171]LiDAR-based 3D video object detection
[172]Salient superpixel visual tracking
[173]Video event recognition and elaboration from the bottom up
[174]Multiobject tracking with embedded particle flow
[175]Video scene graph generation
[176]Video action detection
[177]Multiobject tracking in autodriving
[178, 179]Skeleton-based action recognition
[180]Video distinct object recognition by extraction of robust seeds
[181]Video saliency detection
[182]Close-to-real-time tracking in congested scenes

Human pose detection[183]Human-object interaction detection
[184]Railway driver behavior recognition system
[185]Framework for object identification based on human local attributes
[186]Human object interaction detection
[187]Online top-down human pose tracking
[188]Multiperson pose grouping
[189]Behavior of the human body
[190]Pose recognition algorithm for sports players
[191]Interactive reasoning for human-object interaction detection

Network detection[192]Detection of botnets in IoT networks
[193]Optical flow traffic management using augmented detection
[194]Trajectory-user linking via graph neural network
[195]Message passing network for dense captioning
[196]Change detection in noisy dynamic networks
[197]Analyzing heterogeneous data from social networks
[198]Phishing detection on Ethereum
[199]Fake news detection
[200]Anomaly detection in dynamic networks
[201]Adversary situation awareness

Pedestrian trajectory[202]Pedestrian detection
[203]Obstruction to pedestrian detection
[204]Pedestrian trajectory prediction in public buildings
[205]Pedestrian movements near an amenity in walkways of public buildings