prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the AttnGAN + VICTR model in the VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the Vanilla CM3 model in the Retrieval-Augmented Multimodal Language Modeling paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the DM-GAN + VICTR model in the VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the DM-GAN model in the DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the AttnGAN + OP model in the Generating Multiple Objects at Spatially Distinct Locations paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the AttnGAN (256 x 256) model in the NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the AttnGAN model in the AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the L-Verse-CC model in the L-Verse: Bidirectional Generation Between Image and Text paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the L-Verse model in the L-Verse: Bidirectional Generation Between Image and Text paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the StackGAN + OP model in the Generating Multiple Objects at Spatially Distinct Locations paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the StackGAN-v1 model in the StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the DF-GAN (256 x 256) model in the NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the StackGAN + VICTR model in the VICTR: Visual Information Captured Text Representation for Text-to-Image Multimodal Tasks paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the ChatPainter model in the ChatPainter: Improving Text to Image Generation using Dialogue paper on the COCO dataset? | FID, Inception score, FID-1, FID-2, FID-4, FID-8, SOA-C |
What metrics were used to measure the Parti Finetuned model in the Scaling Autoregressive Models for Content-Rich Text-to-Image Generation paper on the LAION COCO dataset? | FID |
What metrics were used to measure the Parti model in the Scaling Autoregressive Models for Content-Rich Text-to-Image Generation paper on the LAION COCO dataset? | FID |
What metrics were used to measure the NUWA-Infinity model in the NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis paper on the LHQC dataset? | Block-FID |
What metrics were used to measure the MaskGIT model in the MaskGIT: Masked Generative Image Transformer paper on the LHQC dataset? | Block-FID |
What metrics were used to measure the Taming model in the Taming Transformers for High-Resolution Image Synthesis paper on the LHQC dataset? | Block-FID |
What metrics were used to measure the Wiki+RoBERTa model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | P@5K, P@50K |
What metrics were used to measure the UCPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | P@5K, P@50K |
What metrics were used to measure the AutoPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | P@5K, P@50K |
What metrics were used to measure the TopMine model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | P@5K, P@50K |
What metrics were used to measure the Wiki+RoBERTa model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | P@5K, P@50K |
What metrics were used to measure the UCPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | P@5K, P@50K |
What metrics were used to measure the TopMine model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | P@5K, P@50K |
What metrics were used to measure the UCPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | Recall, F1@10, F1 (Seqeval), F1@M |
What metrics were used to measure the AutoPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | Recall, F1@10, F1 (Seqeval), F1@M |
What metrics were used to measure the Wiki+RoBERTa model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | Recall, F1@10, F1 (Seqeval), F1@M |
What metrics were used to measure the TopMine model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | Recall, F1@10, F1 (Seqeval), F1@M |
What metrics were used to measure the PromptRank model in the PromptRank: Unsupervised Keyphrase Extraction Using Prompt paper on the Inspec dataset? | F1@10, F1 (Seqeval), F1@M |
What metrics were used to measure the PatternRank model in the PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction paper on the Inspec dataset? | F1@10, F1 (Seqeval), F1@M |
What metrics were used to measure the PromptRank model in the PromptRank: Unsupervised Keyphrase Extraction Using Prompt paper on the NUS dataset? | F1@10 |
What metrics were used to measure the Wiki+RoBERTa model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Recall, F1@10 |
What metrics were used to measure the UCPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Recall, F1@10 |
What metrics were used to measure the AutoPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Recall, F1@10 |
What metrics were used to measure the Spacy model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Recall, F1@10 |
What metrics were used to measure the PKE model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Recall, F1@10 |
What metrics were used to measure the TopMine model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Recall, F1@10 |
What metrics were used to measure the StanfordNLP model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Recall, F1@10 |
What metrics were used to measure the PromptRank model in the PromptRank: Unsupervised Keyphrase Extraction Using Prompt paper on the Krapivin dataset? | F1@10 |
What metrics were used to measure the PromptRank model in the PromptRank: Unsupervised Keyphrase Extraction Using Prompt paper on the SemEval2017 dataset? | F1@10, F1 (Seqeval), F1@M |
What metrics were used to measure the UCPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Precision, Recall, F1 |
What metrics were used to measure the Wiki+RoBERTa model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Precision, Recall, F1 |
What metrics were used to measure the AutoPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Precision, Recall, F1 |
What metrics were used to measure the TopMine model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KP20k dataset? | Precision, Recall, F1 |
What metrics were used to measure the UCPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | Precision, Recall, F1 |
What metrics were used to measure the Wiki+RoBERTa model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | Precision, Recall, F1 |
What metrics were used to measure the AutoPhrase model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | Precision, Recall, F1 |
What metrics were used to measure the TopMine model in the UCPhrase: Unsupervised Context-aware Quality Phrase Tagging paper on the KPTimes dataset? | Precision, Recall, F1 |
What metrics were used to measure the HDRTVNet model in the A New Journey from SDRTV to HDRTV paper on the MSU HDR Video Reconstruction Benchmark dataset? | HDR-PSNR, HDR-SSIM, HDR-VQM |
What metrics were used to measure the HDRUNet model in the HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization paper on the MSU HDR Video Reconstruction Benchmark dataset? | HDR-PSNR, HDR-SSIM, HDR-VQM |
What metrics were used to measure the SingleHDR model in the Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline paper on the MSU HDR Video Reconstruction Benchmark dataset? | HDR-PSNR, HDR-SSIM, HDR-VQM |
What metrics were used to measure the ExpNet model in the ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content paper on the MSU HDR Video Reconstruction Benchmark dataset? | HDR-PSNR, HDR-SSIM, HDR-VQM |
What metrics were used to measure the DeepHDR model in the Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss paper on the MSU HDR Video Reconstruction Benchmark dataset? | HDR-PSNR, HDR-SSIM, HDR-VQM |
What metrics were used to measure the HDRCNN model in the HDR image reconstruction from a single exposure using deep CNNs paper on the MSU HDR Video Reconstruction Benchmark dataset? | HDR-PSNR, HDR-SSIM, HDR-VQM |
What metrics were used to measure the KUNet model in the KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction paper on the MSU HDR Video Reconstruction Benchmark dataset? | HDR-PSNR, HDR-SSIM, HDR-VQM |
What metrics were used to measure the twostageHDR model in the A Two-stage Deep Network for High Dynamic Range Image Reconstruction paper on the MSU HDR Video Reconstruction Benchmark dataset? | HDR-PSNR, HDR-SSIM, HDR-VQM |
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 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 dataset? | Accuracy |
What metrics were used to measure the SAVA model in the Shuffle and Attend: Video Domain Adaptation paper on the UCF-HMDB 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 dataset? | Accuracy |
What metrics were used to measure the DANN model in the Domain-Adversarial Training of Neural Networks paper on the UCF-HMDB dataset? | Accuracy |
What metrics were used to measure the ADDA model in the Adversarial Discriminative Domain Adaptation paper on the UCF-HMDB dataset? | Accuracy |
What metrics were used to measure the AWADA model in the AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection paper on the BDD100k to Cityscapes dataset? | mAP |
What metrics were used to measure the ILLUME model in the To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors paper on the BDD100k to Cityscapes dataset? | mAP |
What metrics were used to measure the DA-RetinaNet model in the An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites paper on the UDA-CH dataset? | mAP@0.50 |
What metrics were used to measure the PointDAN model in the PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation paper on the PreSIL to KITTI dataset? | AP@0.7 |
What metrics were used to measure the CycleGAN model in the Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data paper on the PreSIL to KITTI dataset? | AP@0.7 |
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? | 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-31 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-31 dataset? | Accuracy, Avg accuracy |
What metrics were used to measure the AWADA model in the AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection paper on the SIM10K to Cityscapes dataset? | mAP, mAP@0.5 |
What metrics were used to measure the ILLUME model in the To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors paper on the SIM10K to Cityscapes dataset? | mAP, mAP@0.5 |
What metrics were used to measure the MRT model in the Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection paper on the SIM10K to Cityscapes dataset? | mAP, mAP@0.5 |
What metrics were used to measure the ViSGA model in the Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection paper on the SIM10K to Cityscapes dataset? | mAP, mAP@0.5 |
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 GTA5-to-Cityscapes dataset? | mIoU |
What metrics were used to measure the Model soups (ViT-G/14) model in the Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time paper on the ImageNet-R dataset? | Top 1 Error |
What metrics were used to measure the EfficientNet-L2 Noisy Student + RPL model in the If your data distribution shifts, use self-learning paper on the ImageNet-R dataset? | Top 1 Error |
What metrics were used to measure the EfficientNet-L2 Noisy Student + ENT model in the If your data distribution shifts, use self-learning paper on the ImageNet-R dataset? | Top 1 Error |
What metrics were used to measure the ResNeXt101+DeepAug+AugMix, BatchNorm Adaptation, model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ImageNet-R dataset? | Top 1 Error |
What metrics were used to measure the ResNet50+DeepAug+Augmix, BatchNorm adaptation model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ImageNet-R dataset? | Top 1 Error |
What metrics were used to measure the ResNet50 + RPL model in the If your data distribution shifts, use self-learning paper on the ImageNet-R dataset? | Top 1 Error |
What metrics were used to measure the ResNet50 + ENT model in the If your data distribution shifts, use self-learning paper on the ImageNet-R dataset? | Top 1 Error |
What metrics were used to measure the ResNet50, BatchNorm adaptation model in the Improving robustness against common corruptions by covariate shift adaptation paper on the ImageNet-R dataset? | Top 1 Error |
What metrics were used to measure the TranSVAE model in the Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective paper on the Jester (Gesture Recognition) 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 Jester (Gesture Recognition) 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 Jester (Gesture Recognition) dataset? | Accuracy |
What metrics were used to measure the DANN model in the Domain-Adversarial Training of Neural Networks paper on the Jester (Gesture Recognition) dataset? | Accuracy |
What metrics were used to measure the ADDA model in the Adversarial Discriminative Domain Adaptation paper on the Jester (Gesture Recognition) dataset? | Accuracy |
What metrics were used to measure the EfficientNet-L2 NoisyStudent + RPL model in the If your data distribution shifts, use self-learning paper on the ImageNet-A dataset? | Top 1 Error |
What metrics were used to measure the TranSVAE model in the Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective paper on the HMDB-UCF 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 HMDB-UCF dataset? | Accuracy |
What metrics were used to measure the SAVA model in the Shuffle and Attend: Video Domain Adaptation paper on the HMDB-UCF 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 HMDB-UCF dataset? | Accuracy |
What metrics were used to measure the ADDA model in the Adversarial Discriminative Domain Adaptation paper on the HMDB-UCF dataset? | Accuracy |
What metrics were used to measure the DANN model in the Domain-Adversarial Training of Neural Networks paper on the HMDB-UCF 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-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 Office-Home dataset? | Accuracy, Avg accuracy |
What metrics were used to measure the CDTrans model in the CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation paper on the Office-Home dataset? | Accuracy, Avg accuracy |
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