prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the MEDA (ResNet50) model in the Transfer Learning with Dynamic Distribution Adaptation paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the IDDA model in the Looking back at Labels: A Class based Domain Adaptation Technique paper on the Office-Home dataset? | Accuracy |
What metrics were used to measure the CAADA model in the Correlation-aware Adversarial Domain Adaptation and Generalization 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-Caltech dataset? | Average Accuracy |
What metrics were used to measure the MEDA[[Wang et al.2018]] model in the Visual Domain Adaptation with Manifold Embedded Distribution Alignment paper on the Office-Caltech dataset? | Average Accuracy |
What metrics were used to measure the CAPLS [[Wang, Bu, and Breckon2019]] model in the Unifying Unsupervised Domain Adaptation and Zero-Shot Visual Recognition paper on the Office-Caltech dataset? | Average Accuracy |
What metrics were used to measure the DAN[[Long et al.2015]] model in the Learning Transferable Features with Deep Adaptation Networks paper on the Office-Caltech dataset? | Average Accuracy |
What metrics were used to measure the JGSA[[Zhang, Li, and Ogunbona2017]] model in the Joint Geometrical and Statistical Alignment for Visual Domain Adaptation paper on the Office-Caltech dataset? | Average Accuracy |
What metrics were used to measure the DDC[[Tzeng et al.2014]] model in the Deep Domain Confusion: Maximizing for Domain Invariance paper on the Office-Caltech dataset? | Average Accuracy |
What metrics were used to measure the SCA[[Ghifary et al.2016]] model in the Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization paper on the Office-Caltech dataset? | Average Accuracy |
What metrics were used to measure the CORAL[[Sun, Feng, and Saenko2017]] model in the Correlation Alignment for Unsupervised Domain Adaptation paper on the Office-Caltech dataset? | Average Accuracy |
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 GTA5 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 GTA5 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 GTA5 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 GTA5 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 GTA5 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 GTA5 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 GTA5 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 GTA5 to Cityscapes dataset? | mIoU |
What metrics were used to measure the TransDA-B model in the Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation paper on the GTA5 to Cityscapes dataset? | mIoU |
What metrics were used to measure the DDB model in the Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation paper on the GTA5 to Cityscapes dataset? | mIoU |
What metrics were used to measure the EHTDI* model in the Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation paper on the GTA5 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 GTA5 to Cityscapes dataset? | mIoU |
What metrics were used to measure the BiSMAP model in the Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation paper on the GTA5 to Cityscapes dataset? | mIoU |
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 GTA5 to Cityscapes dataset? | mIoU |
What metrics were used to measure the FAFS model in the A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment paper on the GTA5 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 GTA5 to Cityscapes 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 GTA5 to Cityscapes dataset? | mIoU |
What metrics were used to measure the ProCA model in the Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation paper on the GTA5 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 GTA5 to Cityscapes dataset? | mIoU |
What metrics were used to measure the MRNet + Rectifying Label model in the Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation paper on the GTA5 to Cityscapes dataset? | mIoU |
What metrics were used to measure the CCM model in the Content-Consistent Matching for Domain Adaptive Semantic Segmentation paper on the GTA5 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 GTA5 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 GTA5 to Cityscapes dataset? | mIoU |
What metrics were used to measure the DSN (DANN) model in the Domain Separation Networks paper on the Synth Objects-to-LINEMOD dataset? | Classification Accuracy, Mean Angle Error |
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 SYNTHIA-to-FoggyCityscapes dataset? | mIoU |
What metrics were used to measure the FSDA-LL Sony -> Nikon model in the Few-Shot Domain Adaptation for Low Light RAW Image Enhancement paper on the Nikon RAW Low Light dataset? | PSNR, SSIM |
What metrics were used to measure the Butterfly model in the Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation paper on the Noisy-SYND-to-MNIST dataset? | Average Accuracy |
What metrics were used to measure the FSDA-LL Sony -> Canon model in the Few-Shot Domain Adaptation for Low Light RAW Image Enhancement paper on the Canon RAW Low Light dataset? | PSNR, SSIM |
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 GTA-to-FoggyCityscapes dataset? | mIoU |
What metrics were used to measure the DDB model in the Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation paper on the GTAV to Cityscapes+Mapillary dataset? | mIoU |
What metrics were used to measure the ADAS model in the ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation paper on the GTAV to Cityscapes+Mapillary dataset? | mIoU |
What metrics were used to measure the CCL model in the Multi-Target Domain Adaptation with Collaborative Consistency Learning paper on the GTAV to Cityscapes+Mapillary 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 VisDA2017 dataset? | Accuracy |
What metrics were used to measure the DePT model in the Visual Prompt Tuning for Test-time Domain Adaptation paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the SDAT(ViT) model in the A Closer Look at Smoothness in Domain Adversarial Training paper on the VisDA2017 dataset? | 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 VisDA2017 dataset? | Accuracy |
What metrics were used to measure the CoVi model in the Contrastive Vicinal Space for Unsupervised Domain Adaptation paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the CDTrans model in the CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the FixBi model in the FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the CAN model in the Contrastive Adaptation Network for Unsupervised Domain Adaptation paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the dSNE model in the d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding paper on the VisDA2017 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 VisDA2017 dataset? | Accuracy |
What metrics were used to measure the Mean teacher model in the Self-ensembling for visual domain adaptation paper on the VisDA2017 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 VisDA2017 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 VisDA2017 dataset? | Accuracy |
What metrics were used to measure the DTA model in the Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the MRKLD + LRENT model in the Confidence Regularized Self-Training paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the CRST model in the Confidence Regularized Self-Training paper on the VisDA2017 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 VisDA2017 dataset? | Accuracy |
What metrics were used to measure the SWD model in the Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the IAFN model in the Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the CDAN model in the Conditional Adversarial Domain Adaptation paper on the VisDA2017 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 VisDA2017 dataset? | Accuracy |
What metrics were used to measure the JAN model in the Deep Transfer Learning with Joint Adaptation Networks paper on the VisDA2017 dataset? | Accuracy |
What metrics were used to measure the MSCL model in the Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation paper on the GTA5+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 GTA5+Synscapes to Cityscapes dataset? | mIoU |
What metrics were used to measure the MDAN model in the Adversarial Multiple Source Domain Adaptation paper on the GTA5+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 GTA5+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 GTA5+Synscapes to Cityscapes dataset? | mIoU |
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-FoggyDriving 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-FoggyDriving 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-FoggyDriving dataset? | mIoU |
What metrics were used to measure the Butterfly model in the Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation paper on the Noisy-Amazon (45%) dataset? | Average Accuracy |
What metrics were used to measure the UFLD-SGPCS-ResNet32 model in the CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains paper on the TuLane dataset? | Lane Accuracy (LA) |
What metrics were used to measure the UFLD-SGADA-ResNet32 model in the CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains paper on the TuLane dataset? | Lane Accuracy (LA) |
What metrics were used to measure the UFLD-SGADA-ResNet18 model in the CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains paper on the TuLane dataset? | Lane Accuracy (LA) |
What metrics were used to measure the UFLD-SGPCS-ResNet18 model in the CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains paper on the TuLane dataset? | Lane Accuracy (LA) |
What metrics were used to measure the UFLD-ADDA-ResNet32 model in the CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains paper on the TuLane dataset? | Lane Accuracy (LA) |
What metrics were used to measure the UFLD-DANN-ResNet32 model in the CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains paper on the TuLane dataset? | Lane Accuracy (LA) |
What metrics were used to measure the UFLD-ADDA-ResNet18 model in the CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains paper on the TuLane dataset? | Lane Accuracy (LA) |
What metrics were used to measure the UFLD-DANN-ResNet18 model in the CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains paper on the TuLane dataset? | Lane Accuracy (LA) |
What metrics were used to measure the EDAPS model in the EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation paper on the Panoptic SYNTHIA-to-Cityscapes dataset? | mPQ |
What metrics were used to measure the UniDAformer model in the UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration paper on the Panoptic SYNTHIA-to-Cityscapes 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-Cityscapes 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-Cityscapes dataset? | mPQ |
What metrics were used to measure the TA3N model in the Temporal Attentive Alignment for Video Domain Adaptation paper on the UCF-to-HMDBsmall dataset? | Accuracy |
What metrics were used to measure the TemPooling + RevGrad model in the Unsupervised Domain Adaptation by Backpropagation paper on the UCF-to-HMDBsmall 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 UCF-to-HMDBsmall 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 MNIST-M-to-MNIST dataset? | Accuracy |
What metrics were used to measure the FACT model in the FACT: Federated Adversarial Cross Training paper on the MNIST-to-USPS 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 MNIST-to-USPS dataset? | Accuracy |
What metrics were used to measure the Mean teacher model in the Self-ensembling for visual domain adaptation paper on the MNIST-to-USPS 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 MNIST-to-USPS 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 MNIST-to-USPS 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 MNIST-to-USPS 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 MNIST-to-USPS dataset? | Accuracy |
What metrics were used to measure the 3CATN model in the Cycle-consistent Conditional Adversarial Transfer Networks paper on the MNIST-to-USPS 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 MNIST-to-USPS 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 MNIST-to-USPS dataset? | Accuracy |
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