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Table 3 Comparative summary of GANs for the problem of imbalances in computer vision

From: A survey on generative adversarial networks for imbalance problems in computer vision tasks

Category Imbalance type Study Application
Binary classification Inter class imbalance DCGAN [153] Malaria disease classification
Inter class imbalance SDGAN [154] Industrial defect classification
Inter class imbalance BAGAN [155] Image classification
Inter class imbalance CiGAN [156] Mammogram classification
Inter class imbalance CycleGAN [157] Mammogram classification
Inter class imbalance DCGAN [233] Mammogram classification
Inter class imbalance CovidGAN [159] Covid19 classification
Intra class imbalance Clustering + GAN [163] Imbalanced intra class classification
Intra class imbalance Semantically decomposed GAN [234] Imbalanced intra class classification
Intra class imbalance VAE + GAN [115] Facial Attribute editing
Intra class imbalance AttGAN [64] Facial Attribute editing
Intra class imbalance IcGAN [65] Facial Attribute editing
Intra class imbalance ResAttr-GAN [66] Facial Attribute editing
Intra class imbalance ARU-net [170] Facial Attribute editing
Intra class imbalance SaGAN [171] Facial Attribute editing
Intra class imbalance PN-GAN [176] Person reidentification
Intra class imbalance PTGAN [177] Person reidentification
Intra class imbalance CycleGAN [178] Person reidentification
Intra class imbalance SPGAN [179] Person reidentification
Intra class imbalance FDGAN [180] Person reidentification
Intra class imbalance Cross view GAN [182] Vehicle reidentification
Intra class imbalance DCGAN [183] Vehicle reidentification
Intra class imbalance F-CGAN [184] Fine grained classification
Intra class imbalance DCGAN + Fine grained Classifier [188] Fine grained classification
Intra class imbalance General-to-Detailed GAN [190] Fine grained classification
Multi class classification Few minority-many majority class imbalance Cycle GAN [197] Emotion classification
Few minority-many majority class imbalance DCGAN [198] Weather classification
Few minority-many majority class imbalance DCGAN + Ensemble learning [199] Weather classification
Few minority-many majority class imbalance DCGAN [193] Chest pathology classification
Few minority-many majority class imbalance DCGAN [200] liver lesion classification
Many majority- Few minority class imbalance DCGAN [201] Skin lesion classification
Many majority- Many minority class imbalance Cycle-GAN [192] Plant disease classification
Many majority- Many minority class imbalance WGAN-GP [203] Multi class classification
Many majority- Many minority class imbalance CE-GAN [205] Multi class classification
Object detection Object Scale imbalance Perceptual GAN [208] Traffic sign detection
Object Scale imbalance SOD-MTGAN [213] Small object detection system
Object Scale imbalance Detector GAN [209] Pedestrian and disease detection
Imbalance due to occlusions and deformations Adversarial-Fast-RCNN [216] Occluded object detection
Imbalance due to occlusions and deformations Adversarial Occlusion-aware Face Detector [217] Occluded face detection
Imbalance due to occlusions and deformations Cut-Paste GAN [218] Occluded object detection
Foreground Background object class imbalance Task-aware synthetic data generation [219] Object detection
Foreground Background object class imbalance Gene-GAN [221] Object detection
Foreground Background object class imbalance PSIS [220] Object detection
Segmentation Pixel wise Imbalance Sensitivity conditional GAN [118] Shadow detection
Pixel wise Imbalance Pix2pix HD GAN [143] Imbalanced pedestrian image segmentation
Pixel wise Imbalance Voxel GAN [226] Brain tumor segmentation
Pixel wise Imbalance GAN + ensemble learning [228] Medical image semantic segmentation
Pixel wise Imbalance GAN + Weighted categorical loss [227] Heart image segmentation
Imbalance due to occlusions SeGAN[231] Invisible part generation and Segmentation
Imbalance due to occlusions Occlusion-Aware GAN [232] Occlusion free image generation
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