prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the MAGNET model in the MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network paper on the Slashdot dataset? | Micro-F1 |
What metrics were used to measure the DECAF model in the ECLARE: Extreme Classification with Label Graph Correlations paper on the LF-AmazonTitles-131K dataset? | Precision@1 |
What metrics were used to measure the XGBoost model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the MVICTOR (theme) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the SVM model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the MVICTOR (theme) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the NB model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the MVICTOR (theme) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the LAHA model in the Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification paper on the Kan-Shan Cup dataset? | P@1, P@3, P@5, nDCG@3, nDCG@5 |
What metrics were used to measure the XGBoost model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the SVICTOR (theme) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the SVM model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the SVICTOR (theme) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the NB model in the VICTOR: a Dataset for Brazilian Legal Documents Classification paper on the SVICTOR (theme) dataset? | Average F1, Weighted F1 |
What metrics were used to measure the DINO-MC model in the DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops paper on the BigEarthNet-10% dataset? | mean average precision |
What metrics were used to measure the ResNet151 model in the Deep Residual Learning for Image Recognition paper on the VizWiz-Classification dataset? | Accuracy |
What metrics were used to measure the ResNet101 model in the Residual Attention: A Simple but Effective Method for Multi-Label Recognition paper on the VOC2007 dataset? | MAP |
What metrics were used to measure the IDA-R101(H) model in the Causality Compensated Attention for Contextual Biased Visual Recognition paper on the MSCOCO dataset? | mAP, mean average precision |
What metrics were used to measure the IDA-R101(H) 576 model in the Causality Compensated Attention for Contextual Biased Visual Recognition paper on the MSCOCO dataset? | mAP, mean average precision |
What metrics were used to measure the IDA-SwinL(H) 384 model in the Causality Compensated Attention for Contextual Biased Visual Recognition paper on the MSCOCO dataset? | mAP, mean average precision |
What metrics were used to measure the ML-AGCN model in the Multi Label Image Classification using Adaptive Graph Convolutional Networks (ML-AGCN) paper on the MSCOCO dataset? | mAP, mean average precision |
What metrics were used to measure the MoCo-v2 (ResNet50, fine tune) model in the SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the MoCo-v3 (ViT-S/16, fine tune) model in the SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the MoCo-v2 (ResNet18, fine tune) model in the Self-supervised Learning in Remote Sensing: A Review paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the MAE (ViT-S/16, fine tune) model in the SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the DINO-MC model in the DINO-MC: Self-supervised Contrastive Learning for Remote Sensing Imagery with Multi-sized Local Crops paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the ResNet50 model in the In-domain representation learning for remote sensing paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the WideResNet-B5-ECA model in the Benchmarking and scaling of deep learning models for land cover image classification paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the ViTM/20 model in the Benchmarking and scaling of deep learning models for land cover image classification paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the ResNet50 model in the Benchmarking and scaling of deep learning models for land cover image classification paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the MLPMixer model in the Benchmarking and scaling of deep learning models for land cover image classification paper on the BigEarthNet dataset? | mAP (micro), mAP (macro), FScore, official split |
What metrics were used to measure the SADCL model in the Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification paper on the COCO 2014 dataset? | CF1, CP, CR, OF1, OP, OR, mAP |
What metrics were used to measure the Css-Net model in the Relieving Triplet Ambiguity: Consensus Network for Language-Guided Image Retrieval paper on the Fashion200k dataset? | Recall@1, Recall@10, Recall@50 |
What metrics were used to measure the ComposeAE model in the Compositional Learning of Image-Text Query for Image Retrieval paper on the Fashion200k dataset? | Recall@1, Recall@10, Recall@50 |
What metrics were used to measure the Multi-grained Uncertainty Regularization(MUR) model in the Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization paper on the Fashion200k dataset? | Recall@1, Recall@10, Recall@50 |
What metrics were used to measure the TIRG model in the Composing Text and Image for Image Retrieval - An Empirical Odyssey paper on the Fashion200k dataset? | Recall@1, Recall@10, Recall@50 |
What metrics were used to measure the Relationship model in the A simple neural network module for relational reasoning paper on the Fashion200k dataset? | Recall@1, Recall@10, Recall@50 |
What metrics were used to measure the Show and Tell model in the Show and Tell: A Neural Image Caption Generator paper on the Fashion200k dataset? | Recall@1, Recall@10, Recall@50 |
What metrics were used to measure the Param Hashing model in the Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction paper on the Fashion200k dataset? | Recall@1, Recall@10, Recall@50 |
What metrics were used to measure the FashionConcept model in the Automatic Spatially-aware Fashion Concept Discovery paper on the Fashion200k dataset? | Recall@1, Recall@10, Recall@50 |
What metrics were used to measure the ComposeAE model in the Compositional Learning of Image-Text Query for Image Retrieval paper on the FashionIQ dataset? | Recall@10 |
What metrics were used to measure the TIRG model in the Composing Text and Image for Image Retrieval - An Empirical Odyssey paper on the FashionIQ dataset? | Recall@10 |
What metrics were used to measure the ComposeAE model in the Compositional Learning of Image-Text Query for Image Retrieval paper on the MIT-States dataset? | Recall@1, Recall@5, Recall@10 |
What metrics were used to measure the TIRG model in the Composing Text and Image for Image Retrieval - An Empirical Odyssey paper on the MIT-States dataset? | Recall@1, Recall@5, Recall@10 |
What metrics were used to measure the Show and Tell model in the Show and Tell: A Neural Image Caption Generator paper on the MIT-States dataset? | Recall@1, Recall@5, Recall@10 |
What metrics were used to measure the FiLM model in the FiLM: Visual Reasoning with a General Conditioning Layer paper on the MIT-States dataset? | Recall@1, Recall@5, Recall@10 |
What metrics were used to measure the Attribute as Operator model in the Attributes as Operators: Factorizing Unseen Attribute-Object Compositions paper on the MIT-States dataset? | Recall@1, Recall@5, Recall@10 |
What metrics were used to measure the ESDNet-L model in the Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing paper on the UHDM dataset? | PSNR |
What metrics were used to measure the ESDNet model in the Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing paper on the UHDM dataset? | PSNR |
What metrics were used to measure the PI-REC model in the PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain paper on the Edge-to-Handbags dataset? | FID, LPIPS, HP, MMD |
What metrics were used to measure the Xian et al._ model in the TextureGAN: Controlling Deep Image Synthesis with Texture Patches paper on the Edge-to-Handbags dataset? | FID, LPIPS, HP, MMD |
What metrics were used to measure the bFT model in the Guided Image-to-Image Translation with Bi-Directional Feature Transformation paper on the Edge-to-Handbags dataset? | FID, LPIPS, HP, MMD |
What metrics were used to measure the pix2pix model in the Image-to-Image Translation with Conditional Adversarial Networks paper on the Edge-to-Handbags dataset? | FID, LPIPS, HP, MMD |
What metrics were used to measure the AugVAE-ML model in the L-Verse: Bidirectional Generation Between Image and Text paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the AugVAE-SL model in the L-Verse: Bidirectional Generation Between Image and Text paper on the ImageNet 256x256 dataset? | FID |
What metrics were used to measure the PI-REC model in the PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain paper on the Edge-to-Shoes dataset? | FID, LPIPS, HP, MMD |
What metrics were used to measure the Xian et al._ model in the TextureGAN: Controlling Deep Image Synthesis with Texture Patches paper on the Edge-to-Shoes dataset? | FID, LPIPS, HP, MMD |
What metrics were used to measure the bFT model in the Guided Image-to-Image Translation with Bi-Directional Feature Transformation paper on the Edge-to-Shoes dataset? | FID, LPIPS, HP, MMD |
What metrics were used to measure the pix2pix model in the Image-to-Image Translation with Conditional Adversarial Networks paper on the Edge-to-Shoes dataset? | FID, LPIPS, HP, MMD |
What metrics were used to measure the Ours (STFT: magnitude, L1l=1) W-Replicate model in the Towards Robust Image-in-Audio Deep Steganography paper on the Audio Set dataset? | SSIM |
What metrics were used to measure the Ours (STFT: magnitude, L1l=1) WS-Replicate model in the Towards Robust Image-in-Audio Deep Steganography paper on the Audio Set dataset? | SSIM |
What metrics were used to measure the bFT model in the Guided Image-to-Image Translation with Bi-Directional Feature Transformation paper on the Edge-to-Clothes dataset? | FID, LPIPS |
What metrics were used to measure the ELSC model in the Ensemble Learning for Spectral Clustering paper on the pixraw10P dataset? | Accuracy (%) |
What metrics were used to measure the ELSC model in the Ensemble Learning for Spectral Clustering paper on the warpPIE10P dataset? | Accuracy (%) |
What metrics were used to measure the ELSC model in the Ensemble Learning for Spectral Clustering paper on the JAFFE dataset? | Accuracy (%) |
What metrics were used to measure the ELSC model in the Ensemble Learning for Spectral Clustering paper on the australian dataset? | Accuracy (%) |
What metrics were used to measure the DnC-SC model in the Divide-and-conquer based Large-Scale Spectral Clustering paper on the pendigits dataset? | runtime (s), Accuracy (%), NMI |
What metrics were used to measure the LSC-R model in the Divide-and-conquer based Large-Scale Spectral Clustering paper on the pendigits dataset? | runtime (s), Accuracy (%), NMI |
What metrics were used to measure the U-SPEC model in the Ultra-Scalable Spectral Clustering and Ensemble Clustering paper on the pendigits dataset? | runtime (s), Accuracy (%), NMI |
What metrics were used to measure the LSC-K model in the Divide-and-conquer based Large-Scale Spectral Clustering paper on the pendigits dataset? | runtime (s), Accuracy (%), NMI |
What metrics were used to measure the SC_RB model in the Scalable Spectral Clustering Using Random Binning Features paper on the pendigits dataset? | runtime (s), Accuracy (%), NMI |
What metrics were used to measure the U-SPEC model in the Divide-and-conquer based Large-Scale Spectral Clustering paper on the pendigits dataset? | runtime (s), Accuracy (%), NMI |
What metrics were used to measure the LBDM model in the Large-scale spectral clustering using diffusion coordinates on landmark-based bipartite graphs paper on the pendigits dataset? | runtime (s), Accuracy (%), NMI |
What metrics were used to measure the ELSC model in the Ensemble Learning for Spectral Clustering paper on the iris dataset? | Accuracy (%) |
What metrics were used to measure the ELSC model in the Ensemble Learning for Spectral Clustering paper on the BA dataset? | Accuracy (%) |
What metrics were used to measure the ELSC model in the Ensemble Learning for Spectral Clustering paper on the Wine dataset? | Accuracy (%) |
What metrics were used to measure the DynAE model in the Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the DTI-Clustering model in the Deep Transformation-Invariant Clustering paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the DDC-DA model in the Deep Density-based Image Clustering paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the PSSC model in the Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the DDC model in the Deep Density-based Image Clustering paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the OURS-RC model in the Joint Unsupervised Learning of Deep Representations and Image Clusters paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the GDL model in the Graph Degree Linkage: Agglomerative Clustering on a Directed Graph paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the AE+SNNL model in the Improving k-Means Clustering Performance with Disentangled Internal Representations paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the N2D (UMAP) model in the N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the SR-K-means model in the Deep clustering: On the link between discriminative models and K-means paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the AGDL model in the Graph Degree Linkage: Agglomerative Clustering on a Directed Graph paper on the MNIST-test dataset? | NMI, Accuracy |
What metrics were used to measure the TEMI CLIP ViT-L (openai) model in the Exploring the Limits of Deep Image Clustering using Pretrained Models paper on the ImageNet-50 dataset? | NMI, ACCURACY, ARI |
What metrics were used to measure the TEMI MSN ViT-L model in the Exploring the Limits of Deep Image Clustering using Pretrained Models paper on the ImageNet-50 dataset? | NMI, ACCURACY, ARI |
What metrics were used to measure the TEMI DINO ViT-B model in the Exploring the Limits of Deep Image Clustering using Pretrained Models paper on the ImageNet-50 dataset? | NMI, ACCURACY, ARI |
What metrics were used to measure the Single-Noun Prior model in the Dataset Summarization by K Principal Concepts paper on the ImageNet-50 dataset? | NMI, ACCURACY, ARI |
What metrics were used to measure the SCAN model in the SCAN: Learning to Classify Images without Labels paper on the ImageNet-50 dataset? | NMI, ACCURACY, ARI |
What metrics were used to measure the TEMI MSN (ViT-L) model in the Exploring the Limits of Deep Image Clustering using Pretrained Models paper on the ImageNet dataset? | NMI, Accuracy, ARI, Comment |
What metrics were used to measure the MAE-CT (ViT-H/16 best) model in the Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget paper on the ImageNet dataset? | NMI, Accuracy, ARI, Comment |
What metrics were used to measure the MAE-CT (ViT-H/16 mean) model in the Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget paper on the ImageNet dataset? | NMI, Accuracy, ARI, Comment |
What metrics were used to measure the TEMI DINO (ViT-B) model in the Exploring the Limits of Deep Image Clustering using Pretrained Models paper on the ImageNet dataset? | NMI, Accuracy, ARI, Comment |
What metrics were used to measure the SCAN model in the SCAN: Learning to Classify Images without Labels paper on the ImageNet dataset? | NMI, Accuracy, ARI, Comment |
What metrics were used to measure the SeLa model in the Self-labelling via simultaneous clustering and representation learning paper on the ImageNet dataset? | NMI, Accuracy, ARI, Comment |
What metrics were used to measure the HUME model in the The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning paper on the ImageNet dataset? | NMI, Accuracy, ARI, Comment |
What metrics were used to measure the FineGAN model in the FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery paper on the CUB Birds dataset? | Accuracy, NMI |
What metrics were used to measure the DEPICT-Large model in the Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization paper on the CUB Birds dataset? | Accuracy, NMI |
What metrics were used to measure the DEPICT model in the Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization paper on the CUB Birds dataset? | Accuracy, NMI |
What metrics were used to measure the JULE model in the Joint Unsupervised Learning of Deep Representations and Image Clusters paper on the CUB Birds dataset? | Accuracy, NMI |
What metrics were used to measure the SPC model in the Selective Pseudo-label Clustering paper on the USPS dataset? | NMI, Accuracy |
What metrics were used to measure the DynAE model in the Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction paper on the USPS dataset? | NMI, Accuracy |
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