prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the SRDA (RAN) model in the Learning Smooth Representation for Unsupervised Domain Adaptation paper on the MNIST-to-USPS dataset? | Accuracy |
What metrics were used to measure the MCD model in the Maximum Classifier Discrepancy for Unsupervised Domain Adaptation paper on the MNIST-to-USPS dataset? | Accuracy |
What metrics were used to measure the ADDN model in the Adversarial Discriminative Domain Adaptation paper on the MNIST-to-USPS dataset? | Accuracy |
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 Foggy Cityscapes dataset? | mAP |
What metrics were used to measure the TA3N model in the Temporal Attentive Alignment for Video Domain Adaptation paper on the HMDBfull-to-UCF dataset? | Accuracy |
What metrics were used to measure the JAN model in the Deep Transfer Learning with Joint Adaptation Networks paper on the HMDBfull-to-UCF dataset? | Accuracy |
What metrics were used to measure the MCD model in the Maximum Classifier Discrepancy for Unsupervised Domain Adaptation paper on the HMDBfull-to-UCF dataset? | Accuracy |
What metrics were used to measure the RevGrad model in the Unsupervised Domain Adaptation by Backpropagation paper on the HMDBfull-to-UCF dataset? | Accuracy |
What metrics were used to measure the TranSVAE model in the Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective paper on the UCF --> HMDB (full) dataset? | Accuracy |
What metrics were used to measure the CoMix model in the Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing paper on the UCF --> HMDB (full) dataset? | Accuracy |
What metrics were used to measure the SAVA model in the Shuffle and Attend: Video Domain Adaptation paper on the UCF --> HMDB (full) dataset? | Accuracy |
What metrics were used to measure the TA3N model in the Temporal Attentive Alignment for Large-Scale Video Domain Adaptation paper on the UCF --> HMDB (full) dataset? | Accuracy |
What metrics were used to measure the TA3N model in the Temporal Attentive Alignment for Video Domain Adaptation paper on the UCF-to-HMDBfull dataset? | Accuracy |
What metrics were used to measure the JAN model in the Deep Transfer Learning with Joint Adaptation Networks paper on the UCF-to-HMDBfull dataset? | Accuracy |
What metrics were used to measure the RevGrad model in the Unsupervised Domain Adaptation by Backpropagation paper on the UCF-to-HMDBfull dataset? | Accuracy |
What metrics were used to measure the MCD model in the Maximum Classifier Discrepancy for Unsupervised Domain Adaptation paper on the UCF-to-HMDBfull dataset? | Accuracy |
What metrics were used to measure the Mean teacher model in the Self-ensembling for visual domain adaptation paper on the SVHN-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 SVHN-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 SVHN-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 SVHN-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 SVHN-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 SVHN-to-MNIST dataset? | Accuracy |
What metrics were used to measure the PFA model in the Progressive Feature Alignment for Unsupervised Domain Adaptation paper on the SVHN-to-MNIST dataset? | Accuracy |
What metrics were used to measure the MSTN model in the Learning Semantic Representations for Unsupervised Domain Adaptation paper on the SVHN-to-MNIST dataset? | Accuracy |
What metrics were used to measure the FACT model in the FACT: Federated Adversarial Cross Training paper on the SVHN-to-MNIST dataset? | Accuracy |
What metrics were used to measure the CYCADA model in the CyCADA: Cycle-Consistent Adversarial Domain Adaptation paper on the SVHN-to-MNIST dataset? | Accuracy |
What metrics were used to measure the CDAN model in the Conditional Adversarial Domain Adaptation paper on the SVHN-to-MNIST dataset? | Accuracy |
What metrics were used to measure the ADDN model in the Adversarial Discriminative Domain Adaptation paper on the SVHN-to-MNIST dataset? | Accuracy |
What metrics were used to measure the SBADA model in the From source to target and back: symmetric bi-directional adaptive GAN paper on the SVHN-to-MNIST dataset? | Accuracy |
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 MoLane 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 MoLane dataset? | Lane Accuracy (LA) |
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 MoLane 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 MoLane 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 MoLane 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 MoLane 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 MoLane 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 MoLane dataset? | Lane Accuracy (LA) |
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 SYNSIG-to-GTSRB 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 SYNSIG-to-GTSRB dataset? | Accuracy |
What metrics were used to measure the MCD model in the Maximum Classifier Discrepancy for Unsupervised Domain Adaptation paper on the SYNSIG-to-GTSRB dataset? | Accuracy |
What metrics were used to measure the SRDA (RAN) model in the Learning Smooth Representation for Unsupervised Domain Adaptation paper on the SYNSIG-to-GTSRB dataset? | Accuracy |
What metrics were used to measure the DAN model in the Learning Transferable Features with Deep Adaptation Networks paper on the SYNSIG-to-GTSRB dataset? | Accuracy |
What metrics were used to measure the ASSC model in the Associative Domain Adaptation paper on the SYNSIG-to-GTSRB dataset? | Accuracy |
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 Comic2k dataset? | mAP |
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 (20%) dataset? | Average Accuracy |
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 MuLane 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 MuLane dataset? | Lane Accuracy (LA) |
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 MuLane 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 MuLane 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 MuLane 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 MuLane 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 MuLane 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 MuLane dataset? | Lane Accuracy (LA) |
What metrics were used to measure the TA3N model in the Temporal Attentive Alignment for Video Domain Adaptation paper on the Olympic-to-HMDBsmall dataset? | Accuracy |
What metrics were used to measure the TemPooling + RevGrad model in the Unsupervised Domain Adaptation by Backpropagation paper on the Olympic-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 Olympic-to-HMDBsmall dataset? | Accuracy |
What metrics were used to measure the TA3N model in the Temporal Attentive Alignment for Video Domain Adaptation paper on the UCF-to-Olympic dataset? | Accuracy |
What metrics were used to measure the TemPooling + RevGrad model in the Unsupervised Domain Adaptation by Backpropagation paper on the UCF-to-Olympic 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-Olympic dataset? | Accuracy |
What metrics were used to measure the SSGEN model in the Learning to Generalize across Domains on Single Test Samples paper on the PACS 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 Office-31 dataset? | Average Accuracy |
What metrics were used to measure the CDTrans model in the CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the CoVi model in the Contrastive Vicinal Space for Unsupervised Domain Adaptation paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the GSDE model in the Gradual Source Domain Expansion for Unsupervised Domain Adaptation paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the FixBi model in the FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the Contrastive Adaptation Network model in the Contrastive Adaptation Network for Unsupervised Domain Adaptation paper on the Office-31 dataset? | Average 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-31 dataset? | Average Accuracy |
What metrics were used to measure the DALN model in the Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation paper on the Office-31 dataset? | Average 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-31 dataset? | Average Accuracy |
What metrics were used to measure the dSNE model in the d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding paper on the Office-31 dataset? | Average 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-31 dataset? | Average 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-31 dataset? | Average Accuracy |
What metrics were used to measure the MDAIR model in the Modified Distribution Alignment for Domain Adaptation with Pre-trained Inception ResNet paper on the Office-31 dataset? | Average 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-31 dataset? | Average Accuracy |
What metrics were used to measure the CADA-P model in the Attending to Discriminative Certainty for Domain Adaptation paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the MEDM model in the Entropy Minimization vs. Diversity Maximization for Domain Adaptation paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the DADA model in the Discriminative Adversarial Domain Adaptation paper on the Office-31 dataset? | Average 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-31 dataset? | Average Accuracy |
What metrics were used to measure the DADA model in the Dual Adversarial Domain Adaptation paper on the Office-31 dataset? | Average 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 Office-31 dataset? | Average Accuracy |
What metrics were used to measure the MRKLD + LRENT model in the Confidence Regularized Self-Training paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the GTA model in the Generate To Adapt: Aligning Domains using Generative Adversarial Networks paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the MEDA (ResNet50) model in the Transfer Learning with Dynamic Distribution Adaptation paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the DAOD model in the Open Set Domain Adaptation: Theoretical Bound and Algorithm paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the MADA model in the Multi-Adversarial Domain Adaptation paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the DAGE-LDA model in the Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the CCSA model in the Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the d-SNE model in the Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol paper on the Office-31 dataset? | Average 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 Office-31 dataset? | Average Accuracy |
What metrics were used to measure the CD3A model in the Curriculum based Dropout Discriminator for Domain Adaptation paper on the Office-31 dataset? | Average 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 Office-31 dataset? | Average 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 Office-31 dataset? | Average Accuracy |
What metrics were used to measure the CAADA model in the Correlation-aware Adversarial Domain Adaptation and Generalization paper on the Office-31 dataset? | Average Accuracy |
What metrics were used to measure the ResNet-50 model in the Deep Residual Learning for Image Recognition paper on the Office-31 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 Office-31 dataset? | Average Accuracy |
What metrics were used to measure the MetaSelf-Learning model in the Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark paper on the MSDA dataset? | Average Accuracy |
What metrics were used to measure the DSN (DANN) model in the Domain Separation Networks paper on the Synth Digits-to-SVHN dataset? | Accuracy |
What metrics were used to measure the DANN [ganin2016domain] model in the Domain-Adversarial Training of Neural Networks paper on the Synth Digits-to-SVHN 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 Digits-to-SVHN dataset? | Accuracy |
What metrics were used to measure the CORAL [sun2015return] model in the Return of Frustratingly Easy Domain Adaptation paper on the Synth Digits-to-SVHN dataset? | Accuracy |
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