prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the DANN [cite:JMLR16RevGrad] model in the Domain-Adversarial Training of Neural Networks paper on the Office-Home dataset? | Accuracy, Avg accuracy |
What metrics were used to measure the JAN [cite:ICML17JAN] model in the Deep Transfer Learning with Joint Adaptation Networks paper on the Office-Home dataset? | Accuracy, Avg accuracy |
What metrics were used to measure the DAN [cite:ICML15DAN] model in the Learning Transferable Features with Deep Adaptation Networks paper on the Office-Home dataset? | Accuracy, Avg accuracy |
What metrics were used to measure the CHATTY+MCC model in the CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation paper on the Office-Home dataset? | Accuracy, Avg accuracy |
What metrics were used to measure the ResNet-50 [cite:CVPR16DRL] model in the Deep Residual Learning for Image Recognition paper on the Office-Home dataset? | Accuracy, Avg accuracy |
What metrics were used to measure the AlexNet [cite:NIPS12CNN] model in the ImageNet Classification with Deep Convolutional Neural Networks paper on the Office-Home dataset? | Accuracy, Avg accuracy |
What metrics were used to measure the Implicit Alignment (with MDD) model in the Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation paper on the Office-Home dataset? | Accuracy, Avg accuracy |
What metrics were used to measure the SAMB model in the Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation paper on the DomainNet 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 DomainNet dataset? | Accuracy |
What metrics were used to measure the EfficientNet-L2+RPL model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the EfficientNet-L2+ENT model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNeXt101 32x8d + DeepAug + Augmix + RPL model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNeXt101 32x8d + DeepAug + Augmix + ENT model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNeXt101+DeepAug+AugMix, BatchNorm Adaptation, full adaptation model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNeXt101+DeepAug+AugMix, BatchNorm Adaptation, 8 samples model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNeXt101 32x8d + IG-3.5B + ENT model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNeXt101 32x8d + IG-3.5B + RPL model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNeXt101 32x8d + RPL model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNeXt101 32x8d + ENT model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNet50+DeepAug+AugMix, BatchNorm Adaptation, full adaptation model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNet50+DeepAug+AugMix, BatchNorm Adaptation, 8 samples model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNet50 + RPL model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNet50 + ENT model in the If your data distribution shifts, use self-learning paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNet50 (baseline), BatchNorm Adaptation, full adaptation model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the ResNet50 (baseline), BatchNorm Adaptation, 8 samples model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ImageNet-C dataset? | mean Corruption Error (mCE) |
What metrics were used to measure the MIC model in the MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation paper on the GTAV-to-Cityscapes Labels 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 GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the CLUDA+HRDA model in the CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation paper on the GTAV-to-Cityscapes Labels 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 GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the DAFormer + PiPa model in the PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the DIDA model in the Dual-level Interaction for Domain Adaptive Semantic Segmentation paper on the GTAV-to-Cityscapes Labels 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 GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the CAMix (w DAFormer) 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 DAFormer + ProCST model in the ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer paper on the GTAV-to-Cityscapes Labels 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 GTAV-to-Cityscapes Labels 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 GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the BiSMAP (ResNet 101) model in the Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation paper on the GTAV-to-Cityscapes Labels 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 GTAV-to-Cityscapes Labels 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 GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the Re-EnD-UDA model in the Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation 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 Uncertainty + Adaboost model in the Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation paper on the GTAV-to-Cityscapes Labels dataset? | mIoU |
What metrics were used to measure the Uncertainty model in the Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation paper on the GTAV-to-Cityscapes Labels 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 GTAV-to-Cityscapes Labels 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-to-Cityscapes Labels 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 (13 classes), mIoU, MIoU (16 classes) |
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 (13 classes), mIoU, MIoU (16 classes) |
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 (13 classes), mIoU, MIoU (16 classes) |
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 (13 classes), mIoU, MIoU (16 classes) |
What metrics were used to measure the DIDA model in the Dual-level Interaction for Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
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 (13 classes), mIoU, MIoU (16 classes) |
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 (13 classes), mIoU, MIoU (16 classes) |
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 (13 classes), mIoU, MIoU (16 classes) |
What metrics were used to measure the TransDA-B model in the Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
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 SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
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 SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
What metrics were used to measure the Re-EnD-UDA model in the Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaptation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
What metrics were used to measure the ProCA(ResNet-101) model in the Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
What metrics were used to measure the Uncertainty + Adaboost model in the Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
What metrics were used to measure the Uncertainty model in the Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
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 SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
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 dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
What metrics were used to measure the CLUDA+HRDA model in the CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | mIoU (13 classes), mIoU, MIoU (16 classes) |
What metrics were used to measure the CCTSE model in the Unsupervised and self-adaptative techniques for cross-domain person re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the EvoADA model in the On Evolving Attention Towards Domain Adaptation paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the AWB model in the Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the SpCL model in the Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the MMT model in the Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the SDA model in the Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the SNR model in the Style Normalization and Restitution for Generalizable Person Re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the ACT model in the Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the ECN++ model in the Learning to Adapt Invariance in Memory for Person Re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the PCB-PAST model in the Self-training with progressive augmentation for unsupervised cross-domain person re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the AD-Cluster model in the AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the SSG model in the Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the MMCL model in the Unsupervised Person Re-identification via Multi-label Classification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the UDAP model in the Unsupervised Domain Adaptive Re-Identification: Theory and Practice paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the PDA-Net model in the Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the CBN+ECN model in the Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the ENC model in the Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the UCDA model in the A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the CFSM model in the Disjoint Label Space Transfer Learning with Common Factorised Space paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the DG-Net model in the Joint Discriminative and Generative Learning for Person Re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the TJ-AIDL model in the Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the SPGAN model in the Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the OG-Net model in the Parameter-Efficient Person Re-identification in the 3D Space paper on the Market to Duke dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the CCTSE model in the Unsupervised and self-adaptative techniques for cross-domain person re-identification paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the AWB model in the Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the SpCl model in the Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the SDA model in the Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-ID paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the MMT model in the Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the DG-Net++ model in the Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the ECN++ model in the Learning to Adapt Invariance in Memory for Person Re-identification paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the MMCL model in the Unsupervised Person Re-identification via Multi-label Classification paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the SSG model in the Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the ECN model in the Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the DG-Net model in the Joint Discriminative and Generative Learning for Person Re-identification paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the PTGAN model in the Person Transfer GAN to Bridge Domain Gap for Person Re-Identification paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the OG-Net model in the Parameter-Efficient Person Re-identification in the 3D Space paper on the Market to MSMT dataset? | mAP, rank-1, rank-5, rank-10 |
What metrics were used to measure the Gradual Self-Training (Small Conv) model in the Understanding Self-Training for Gradual Domain Adaptation paper on the Portraits (over time) dataset? | Accuracy (%) |
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