prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the G2L model in the G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the ProDA+CRA model in the Cross-Region Domain Adaptation for Class-level Alignment paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the ProDA model in the Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the CAMix (w Deeplabv2 ResNet 101) model in the Context-Aware Mixup for Domain Adaptive Semantic Segmentation paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the CCM model in the Content-Consistent Matching for Domain Adaptive Semantic Segmentation paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the CBST model in the Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the ADVENT model in the ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the ResNet101 65.1 model in the Deep Residual Learning for Image Recognition paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the Bidirectional Learning model in the Bidirectional Learning for Domain Adaptation of Semantic Segmentation paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the VGG16 60.3 model in the Very Deep Convolutional Networks for Large-Scale Image Recognition paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the PITI model in the Pretraining is All You Need for Image-to-Image Translation paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the PoE-GAN model in the Multimodal Conditional Image Synthesis with Product-of-Experts GANs paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the OASIS model in the You Only Need Adversarial Supervision for Semantic Image Synthesis paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the CC-FPSE-AUG model in the Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the CC-FPSE model in the Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the VQGAN+Transformer model in the Taming Transformers for High-Resolution Image Synthesis paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the SPADE model in the Semantic Image Synthesis with Spatially-Adaptive Normalization paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the USIS model in the USIS: Unsupervised Semantic Image Synthesis paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the USIS-Wavelet model in the Wavelet-based Unsupervised Label-to-Image Translation paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the Pix2PixHD-AUG model in the Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the CRN model in the Photographic Image Synthesis with Cascaded Refinement Networks paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the pix2pixHD model in the High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs paper on the COCO-Stuff Labels-to-Photos dataset? | FID, Accuracy, mIoU |
What metrics were used to measure the U-GAT-IT model in the U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation paper on the horse2zebra dataset? | Kernel Inception Distance, Frechet Inception Distance, Number of params |
What metrics were used to measure the PoL (CycleGAN) model in the Powers of layers for image-to-image translation paper on the horse2zebra dataset? | Kernel Inception Distance, Frechet Inception Distance, Number of params |
What metrics were used to measure the CycleGAN model in the Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks paper on the horse2zebra dataset? | Kernel Inception Distance, Frechet Inception Distance, Number of params |
What metrics were used to measure the pyramidpix2pix model in the BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix paper on the BCI dataset? | Average PSNR, SSIM |
What metrics were used to measure the pix2pixHD model in the BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix paper on the BCI dataset? | Average PSNR, SSIM |
What metrics were used to measure the pix2pix model in the BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix paper on the BCI dataset? | Average PSNR, SSIM |
What metrics were used to measure the cycleGAN model in the BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix paper on the BCI dataset? | Average PSNR, SSIM |
What metrics were used to measure the StarGAN v2 model in the StarGAN v2: Diverse Image Synthesis for Multiple Domains paper on the CelebA-HQ dataset? | FID, LPIPS |
What metrics were used to measure the CoCosNet model in the Cross-domain Correspondence Learning for Exemplar-based Image Translation paper on the CelebA-HQ dataset? | FID, LPIPS |
What metrics were used to measure the PHStarGANv2 n=4 model in the Hypercomplex Image-to-Image Translation paper on the CelebA-HQ dataset? | FID, LPIPS |
What metrics were used to measure the PHStarGANv2 n=3 model in the Hypercomplex Image-to-Image Translation paper on the CelebA-HQ dataset? | FID, LPIPS |
What metrics were used to measure the PonoSPadaIN model in the Image-to-Image Translation with Low Resolution Conditioning paper on the CelebA-HQ dataset? | FID, LPIPS |
What metrics were used to measure the EGSDE model in the EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations paper on the CelebA-HQ dataset? | FID, LPIPS |
What metrics were used to measure the DP-GAN model in the Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the SPADE + SESAME model in the SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the OASIS model in the You Only Need Adversarial Supervision for Semantic Image Synthesis paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the CC-FPSE-AUG model in the Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the CC-FPSE model in the Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the SPADE model in the Semantic Image Synthesis with Spatially-Adaptive Normalization paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the CRN model in the Photographic Image Synthesis with Cascaded Refinement Networks paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the pix2pixHD model in the High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the USIS model in the USIS: Unsupervised Semantic Image Synthesis paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the USIS-Wavelet model in the Wavelet-based Unsupervised Label-to-Image Translation paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the Pix2PixHD-AUG model in the Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the CoCosNet model in the Cross-domain Correspondence Learning for Exemplar-based Image Translation paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the VQGAN+Transformer model in the Taming Transformers for High-Resolution Image Synthesis paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the INADE model in the Diverse Semantic Image Synthesis via Probability Distribution Modeling paper on the ADE20K Labels-to-Photos dataset? | mIoU, Accuracy, FID, LPIPS |
What metrics were used to measure the FQ-GAN model in the Feature Quantization Improves GAN Training paper on the selfie-to-anime dataset? | Kernel Inception Distance |
What metrics were used to measure the U-GAT-IT model in the U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation paper on the selfie-to-anime dataset? | Kernel Inception Distance |
What metrics were used to measure the StarGAN model in the StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation paper on the RaFD dataset? | Classification Error |
What metrics were used to measure the DIA model in the Deep Identity-aware Transfer of Facial Attributes paper on the RaFD dataset? | Classification Error |
What metrics were used to measure the CycleGAN model in the Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks paper on the RaFD dataset? | Classification Error |
What metrics were used to measure the IcGAN model in the Invertible Conditional GANs for image editing paper on the RaFD dataset? | Classification Error |
What metrics were used to measure the U-GAT-IT model in the U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation paper on the zebra2horse dataset? | Kernel Inception Distance, Frechet Inception Distance, Number of params |
What metrics were used to measure the CycleGAN model in the Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks paper on the zebra2horse dataset? | Kernel Inception Distance, Frechet Inception Distance, Number of params |
What metrics were used to measure the PoL (CycleGAN) model in the Powers of layers for image-to-image translation paper on the zebra2horse dataset? | Kernel Inception Distance, Frechet Inception Distance, Number of params |
What metrics were used to measure the MIC model in the MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation paper on the Cityscapes-to-Foggy Cityscapes dataset? | mAP |
What metrics were used to measure the SSA-DA model in the Bi-Dimensional Feature Alignment for Cross-Domain Object Detection paper on the Cityscapes-to-Foggy Cityscapes dataset? | mAP |
What metrics were used to measure the MCAR model in the Adaptive Object Detection with Dual Multi-Label Prediction paper on the Cityscapes-to-Foggy Cityscapes dataset? | mAP |
What metrics were used to measure the Progressive Domain Adaptation model in the Progressive Domain Adaptation for Object Detection paper on the Cityscapes-to-Foggy Cityscapes dataset? | mAP |
What metrics were used to measure the Diversify & Match model in the Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection paper on the Cityscapes-to-Foggy Cityscapes dataset? | mAP |
What metrics were used to measure the FRCNN in the wild model in the Domain Adaptive Faster R-CNN for Object Detection in the Wild paper on the Cityscapes-to-Foggy Cityscapes dataset? | mAP |
What metrics were used to measure the ResViT model in the ResViT: Residual vision transformers for multi-modal medical image synthesis paper on the IXI dataset? | PSNR |
What metrics were used to measure the pGAN model in the ResViT: Residual vision transformers for multi-modal medical image synthesis paper on the IXI dataset? | PSNR |
What metrics were used to measure the SAGAN model in the ResViT: Residual vision transformers for multi-modal medical image synthesis paper on the IXI dataset? | PSNR |
What metrics were used to measure the pix2pix model in the ResViT: Residual vision transformers for multi-modal medical image synthesis paper on the IXI dataset? | PSNR |
What metrics were used to measure the TransUNet model in the ResViT: Residual vision transformers for multi-modal medical image synthesis paper on the IXI dataset? | PSNR |
What metrics were used to measure the A-UNet model in the ResViT: Residual vision transformers for multi-modal medical image synthesis paper on the IXI dataset? | PSNR |
What metrics were used to measure the SynDiff model in the Unsupervised Medical Image Translation with Adversarial Diffusion Models paper on the IXI dataset? | PSNR |
What metrics were used to measure the U-GAT-IT model in the U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation paper on the photo2vangogh dataset? | Kernel Inception Distance, Frechet Inception Distance, Number of params |
What metrics were used to measure the CycleGAN model in the Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks paper on the photo2vangogh dataset? | Kernel Inception Distance, Frechet Inception Distance, Number of params |
What metrics were used to measure the PoL (CycleGAN) model in the Powers of layers for image-to-image translation paper on the photo2vangogh dataset? | Kernel Inception Distance, Frechet Inception Distance, Number of params |
What metrics were used to measure the FogAdapt+ model in the FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images paper on the Cityscapes-to-FoggyZurich dataset? | mIoU |
What metrics were used to measure the CuDA-Net model in the Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding paper on the Cityscapes-to-FoggyZurich dataset? | mIoU |
What metrics were used to measure the FIFO model in the FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation paper on the Cityscapes-to-FoggyZurich dataset? | mIoU |
What metrics were used to measure the CMAda3+ model in the Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding paper on the Cityscapes-to-FoggyZurich dataset? | mIoU |
What metrics were used to measure the MILA model in the MILA: Memory-Based Instance-Level Adaptation for Cross-Domain Object Detection paper on the Sim10k dataset? | mAP |
What metrics were used to measure the FACT model in the FACT: Federated Adversarial Cross Training paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the SHOT model in the Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the CyCleGAN (Light-weight Calibrator) model in the Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the 3CATN model in the Cycle-consistent Conditional Adversarial Transfer Networks paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the Mean teacher model in the Self-ensembling for visual domain adaptation paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the CDAN model in the Conditional Adversarial Domain Adaptation paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the DRANet model in the DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the DFA-MCD model in the Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the DeepJDOT model in the DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the MCD+CAT model in the Cluster Alignment with a Teacher for Unsupervised Domain Adaptation paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the DFA-ENT model in the Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the MCD model in the Maximum Classifier Discrepancy for Unsupervised Domain Adaptation paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the SRDA (RAN) model in the Learning Smooth Representation for Unsupervised Domain Adaptation paper on the USPS-to-MNIST dataset? | Accuracy |
What metrics were used to measure the PCIDA model in the Continuously Indexed Domain Adaptation paper on the Rotating MNIST dataset? | Accuracy (%) |
What metrics were used to measure the CIDA model in the Continuously Indexed Domain Adaptation paper on the Rotating MNIST dataset? | Accuracy (%) |
What metrics were used to measure the Butterfly model in the Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation paper on the Noisy-MNIST-to-SYND dataset? | Average Accuracy |
What metrics were used to measure the SRDA (RAN) model in the Learning Smooth Representation for Unsupervised Domain Adaptation paper on the SVNH-to-MNIST dataset? | Accuracy |
What metrics were used to measure the SHOT model in the Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation paper on the SVNH-to-MNIST dataset? | Accuracy |
What metrics were used to measure the rRevGrad+CAT model in the Cluster Alignment with a Teacher for Unsupervised Domain Adaptation paper on the SVNH-to-MNIST dataset? | Accuracy |
What metrics were used to measure the dSNE model in the d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding paper on the SVNH-to-MNIST dataset? | Accuracy |
What metrics were used to measure the DeepJDOT model in the DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation paper on the SVNH-to-MNIST dataset? | Accuracy |
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