prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the 3CATN model in the Cycle-consistent Conditional Adversarial Transfer Networks paper on the SVNH-to-MNIST dataset? | Accuracy |
What metrics were used to measure the DSN (DANN) model in the Domain Separation Networks paper on the SVNH-to-MNIST dataset? | Accuracy |
What metrics were used to measure the MMD [tzeng2015ddc]; [long2015learning] model in the Learning Transferable Features with Deep Adaptation Networks paper on the SVNH-to-MNIST dataset? | Accuracy |
What metrics were used to measure the DANN [ganin2016domain] model in the Domain-Adversarial Training of Neural Networks paper on the SVNH-to-MNIST dataset? | Accuracy |
What metrics were used to measure the Refign (HRDA) model in the Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions paper on the Cityscapes to ACDC dataset? | mIoU |
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 ACDC dataset? | mIoU |
What metrics were used to measure the HRDA model in the HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation paper on the Cityscapes to ACDC dataset? | mIoU |
What metrics were used to measure the Refign (DAFormer) model in the Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions paper on the Cityscapes to ACDC dataset? | mIoU |
What metrics were used to measure the VBLC (DAFormer) model in the VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions paper on the Cityscapes to ACDC dataset? | mIoU |
What metrics were used to measure the DAFormer model in the DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation paper on the Cityscapes to ACDC dataset? | mIoU |
What metrics were used to measure the DANNet model in the DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation paper on the Cityscapes to ACDC dataset? | mIoU |
What metrics were used to measure the MGCDA model in the Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation paper on the Cityscapes to ACDC dataset? | mIoU |
What metrics were used to measure the VBLC (DeepLabv2) model in the VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions paper on the Cityscapes to ACDC dataset? | mIoU |
What metrics were used to measure the FDA (DeepLabv2) model in the FDA: Fourier Domain Adaptation for Semantic Segmentation paper on the Cityscapes to ACDC dataset? | mIoU |
What metrics were used to measure the DACS (DeepLabv2) model in the DACS: Domain Adaptation via Cross-domain Mixed Sampling paper on the Cityscapes to ACDC dataset? | mIoU |
What metrics were used to measure the Mean teacher model in the Self-ensembling for visual domain adaptation paper on the Synth Signs-to-GTSRB dataset? | Accuracy |
What metrics were used to measure the DSN (DANN) model in the Domain Separation Networks paper on the Synth Signs-to-GTSRB dataset? | Accuracy |
What metrics were used to measure the MMD [tzeng2015ddc]; [long2015learning] model in the Learning Transferable Features with Deep Adaptation Networks paper on the Synth Signs-to-GTSRB dataset? | Accuracy |
What metrics were used to measure the CORAL [sun2015return] model in the Return of Frustratingly Easy Domain Adaptation paper on the Synth Signs-to-GTSRB dataset? | Accuracy |
What metrics were used to measure the MEDA model in the Visual Domain Adaptation with Manifold Embedded Distribution Alignment paper on the Office-Caltech-10 dataset? | Accuracy (%) |
What metrics were used to measure the MCC+NWD model in the Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the SPL model in the Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the DFA-SAFN model in the Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the DADA model in the Dual Adversarial Domain Adaptation paper on the ImageCLEF-DA 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 ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the MEDM model in the Entropy Minimization vs. Diversity Maximization for Domain Adaptation paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the IAFN+ENT model in the Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the DDA model in the Transfer Learning with Dynamic Distribution Adaptation paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the ASAN model in the Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the CADA-P model in the Attending to Discriminative Certainty for Domain Adaptation paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the EasyTL model in the Easy Transfer Learning By Exploiting Intra-domain Structures paper on the ImageCLEF-DA 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 ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the IDDA (Alexnet) model in the Looking back at Labels: A Class based Domain Adaptation Technique paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the CAADA model in the Correlation-aware Adversarial Domain Adaptation and Generalization paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the DAN model in the Learning Transferable Features with Deep Adaptation Networks paper on the ImageCLEF-DA dataset? | Accuracy |
What metrics were used to measure the EDAPS model in the EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation paper on the Panoptic SYNTHIA-to-Mapillary dataset? | mPQ |
What metrics were used to measure the CVRN model in the Cross-View Regularization for Domain Adaptive Panoptic Segmentation paper on the Panoptic SYNTHIA-to-Mapillary dataset? | mPQ |
What metrics were used to measure the FDA model in the FDA: Fourier Domain Adaptation for Semantic Segmentation paper on the Panoptic SYNTHIA-to-Mapillary dataset? | mPQ |
What metrics were used to measure the ADVENT model in the ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation paper on the Panoptic SYNTHIA-to-Mapillary dataset? | mPQ |
What metrics were used to measure the TA3N model in the Temporal Attentive Alignment for Video Domain Adaptation paper on the HMDBsmall-to-UCF dataset? | Accuracy |
What metrics were used to measure the TemPooling + RevGrad model in the Unsupervised Domain Adaptation by Backpropagation paper on the HMDBsmall-to-UCF dataset? | Accuracy |
What metrics were used to measure the W. Sultani et al. model in the Human Action Recognition Across Datasets by Foreground-weighted Histogram Decomposition paper on the HMDBsmall-to-UCF dataset? | Accuracy |
What metrics were used to measure the MCDA model in the Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the PMTrans model in the Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective paper on the DomainNet dataset? | Average Accuracy |
What metrics were used to measure the DDB model in the Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation paper on the GTAV+Synscapes to Cityscapes dataset? | mIoU |
What metrics were used to measure the MSCL model in the Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation paper on the GTAV+Synscapes to Cityscapes dataset? | mIoU |
What metrics were used to measure the MADAN model in the Multi-source Domain Adaptation for Semantic Segmentation paper on the GTAV+Synscapes to Cityscapes dataset? | mIoU |
What metrics were used to measure the MDAN model in the Adversarial Multiple Source Domain Adaptation paper on the GTAV+Synscapes to Cityscapes dataset? | mIoU |
What metrics were used to measure the MRNet+Adaboost model in the Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation paper on the GTAV+Synscapes to Cityscapes dataset? | mIoU |
What metrics were used to measure the MRNet model in the Unsupervised Scene Adaptation with Memory Regularization in vivo paper on the GTAV+Synscapes to Cityscapes dataset? | mIoU |
What metrics were used to measure the ILM-ASSL model in the Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the HRDA+PiPa model in the PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the MIC model in the MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the FREDOM - Transformer model in the FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the HRDA model in the HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the SePiCo model in the SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the DAFormer + ProCST model in the ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the DAFormer model in the DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the GtA-SFDA (DeepLabv2-ResNet101) model in the Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the FREDOM - DeepLabV2 model in the FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the SePiCo (DeepLabv2-ResNet-101) model in the SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes 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 SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the CorDA (ResNet-101) model in the Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the SAC (ResNet-101) model in the Self-supervised Augmentation Consistency for Adapting Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the RPT (ResNet-101) model in the Transferring and Regularizing Prediction for Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the IAST (ResNet-101) model in the Instance Adaptive Self-Training for Unsupervised Domain Adaptation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the SAC (VGG-16) model in the Self-supervised Augmentation Consistency for Adapting Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the PyCDA (ResNet-101) model in the Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the BiMaL model in the BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the FADA (ResNet-101) model in the Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the PIT (ResNet-101) model in the Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the SA-I2I (VGG-16) model in the Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the ADVENT (ResNet-101) model in the ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the LDR (VGG-16) model in the Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the CD-AM (VGG-16) model in the Context-Aware Domain Adaptation in Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the FDA (VGG-16) model in the FDA: Fourier Domain Adaptation for Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the FADA (VGG-16) model in the Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the PIT (VGG-16) model in the Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the PyCDA (VGG-16) model in the Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach paper on the SYNTHIA-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the MRNet model in the Unsupervised Scene Adaptation with Memory Regularization in vivo paper on the SYNTHIA-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the PMTrans model in the Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the MIC model in the MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the ELS model in the Free Lunch for Domain Adversarial Training: Environment Label Smoothing paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the SDAT (ViT-B/16) model in the A Closer Look at Smoothness in Domain Adversarial Training paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the CDTrans (DeiT-B) model in the CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the PCL model in the Probabilistic Contrastive Learning for Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the EvoADA model in the On Evolving Attention Towards Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the GSDE model in the Gradual Source Domain Expansion for Unsupervised Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the CoVi model in the Contrastive Vicinal Space for Unsupervised Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the FixBi model in the FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the MCC+NWD model in the Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the SENTRY (ResNet50) model in the SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation paper on the Office-Home 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 Office-Home dataset? | Accuracy |
What metrics were used to measure the CPGA model in the Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the BIWAA model in the Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the SPL model in the Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the CADA model in the Attending to Discriminative Certainty for Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the DAOD model in the Open Set Domain Adaptation: Theoretical Bound and Algorithm paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the MEDM model in the Entropy Minimization vs. Diversity Maximization for Domain Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the ASAN model in the Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks paper on the Office-Home dataset? | Accuracy |
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