prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the AREL model in the What Makes A Good Story? Designing Composite Rewards for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the MCSM+RNN model in the Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the AOG + ARS model in the AOG-LSTM: An adaptive attention neural network for visual storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the K-Storyteller model in the Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the CST model in the Contextualize, Show and Tell: A Neural Visual Storyteller paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the ReCo-RL model in the What Makes A Good Story? Designing Composite Rewards for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the HSRL w/ Joint Training model in the Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the ViT-model model in the Vision Transformer Based Model for Describing a Set of Images as a Story paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the HSRL model in the What Makes A Good Story? Designing Composite Rewards for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the PR-VIST model in the Plot and Rework: Modeling Storylines for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the TAPM model in the Transitional Adaptation of Pretrained Models for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the BERT-hLSTMs model in the BERT-hLSTMs: BERT and Hierarchical LSTMs for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the TAPM (no V&L) model in the Transitional Adaptation of Pretrained Models for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the hLSTMs model in the BERT-hLSTMs: BERT and Hierarchical LSTMs for Visual Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the h-attn-rank model in the Hierarchically-Attentive RNN for Album Summarization and Storytelling paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the GLAC Net model in the GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation paper on the VIST dataset? | BLEU-4, CIDEr, METEOR, BLEU-1, BLEU-2, BLEU-3, ROUGE-L, SPICE, BLEURT, MLTD |
What metrics were used to measure the Vit-base + MAE model in the Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers paper on the FER+ dataset? | Accuracy |
What metrics were used to measure the ViT-base model in the Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers paper on the FER+ dataset? | Accuracy |
What metrics were used to measure the ViT-tiny model in the Emotion Separation and Recognition from a Facial Expression by Generating the Poker Face with Vision Transformers paper on the FER+ dataset? | Accuracy |
What metrics were used to measure the DeXpression model in the DeXpression: Deep Convolutional Neural Network for Expression Recognition paper on the MMI dataset? | Accuracy |
What metrics were used to measure the (NN) Oracle plot + summary + oracle char. desc. model in the TVStoryGen: A Dataset for Generating Stories with Character Descriptions paper on the TVMegaSite test dataset? | BLEU, Perplexity, ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the (NN) Oracle plot + summary + oracle char. desc. model in the TVStoryGen: A Dataset for Generating Stories with Character Descriptions paper on the TVMegaSite dev dataset? | BLEU, Perplexity, ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the BART (TextBox 2.0) model in the TextBox 2.0: A Text Generation Library with Pre-trained Language Models paper on the WritingPrompts dataset? | BLEU-1, BLEU-2, Distinct-4 |
What metrics were used to measure the (NN) Oracle plot + summary + oracle char. desc. model in the TVStoryGen: A Dataset for Generating Stories with Character Descriptions paper on the Fandom test dataset? | BLEU, Perplexity, ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the (NN) Oracle plot + summary + oracle char. desc. model in the TVStoryGen: A Dataset for Generating Stories with Character Descriptions paper on the Fandom dev dataset? | BLEU, Perplexity, ROUGE-1, ROUGE-2, ROUGE-L |
What metrics were used to measure the Deep Speech 2 model in the Deep Speech 2: End-to-End Speech Recognition in English and Mandarin paper on the VoxForge Indian dataset? | Percentage error |
What metrics were used to measure the Deep Speech model in the Deep Speech: Scaling up end-to-end speech recognition paper on the VoxForge Indian dataset? | Percentage error |
What metrics were used to measure the Deep Speech 2 model in the Deep Speech 2: End-to-End Speech Recognition in English and Mandarin paper on the VoxForge Commonwealth dataset? | Percentage error |
What metrics were used to measure the Deep Speech model in the Deep Speech: Scaling up end-to-end speech recognition paper on the VoxForge Commonwealth dataset? | Percentage error |
What metrics were used to measure the Deep Speech 2 model in the Deep Speech 2: End-to-End Speech Recognition in English and Mandarin paper on the VoxForge American-Canadian dataset? | Percentage error |
What metrics were used to measure the Deep Speech model in the Deep Speech: Scaling up end-to-end speech recognition paper on the VoxForge American-Canadian dataset? | Percentage error |
What metrics were used to measure the Deep Speech 2 model in the Deep Speech 2: End-to-End Speech Recognition in English and Mandarin paper on the VoxForge European dataset? | Percentage error |
What metrics were used to measure the Deep Speech model in the Deep Speech: Scaling up end-to-end speech recognition paper on the VoxForge European dataset? | Percentage error |
What metrics were used to measure the CCD-ViT-Small model in the Self-supervised Character-to-Character Distillation for Text Recognition paper on the Scene Text Recognition Benchmarks dataset? | Average Accuracy |
What metrics were used to measure the CCD-ViT-Small model in the Self-supervised Character-to-Character Distillation for Text Recognition paper on the TextZoom dataset? | Average PSNR (dB), SSIM |
What metrics were used to measure the CCD-ViT-Small model in the Self-supervised Character-to-Character Distillation for Text Recognition paper on the TextSeg dataset? | IoU (%) |
What metrics were used to measure the Llama 2 70 B QLoRa adapted model in the Speaker attribution in German parliamentary debates with QLoRA-adapted large language models paper on the GePaDe dataset? | F1 |
What metrics were used to measure the Llama 2 70 B QLoRa adapted model in the Speaker attribution in German parliamentary debates with QLoRA-adapted large language models paper on the GePaDe dataset? | F1 |
What metrics were used to measure the Transformer Ensemble model in the Automatic Readability Assessment of German Sentences with Transformer Ensembles paper on the TextComplexityDE dataset? | RMSE |
What metrics were used to measure the AdAM model in the Few-shot Image Generation via Adaptation-Aware Kernel Modulation paper on the Babies dataset? | FID |
What metrics were used to measure the DCL model in the A Closer Look at Few-shot Image Generation paper on the Babies dataset? | FID |
What metrics were used to measure the CDC model in the Few-shot Image Generation via Cross-domain Correspondence paper on the Babies dataset? | FID |
What metrics were used to measure the EWC model in the Few-shot Image Generation with Elastic Weight Consolidation paper on the Babies dataset? | FID |
What metrics were used to measure the FreezeD model in the Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs paper on the Babies dataset? | FID |
What metrics were used to measure the TGAN + ADA model in the Training Generative Adversarial Networks with Limited Data paper on the Babies dataset? | FID |
What metrics were used to measure the TGAN model in the Transferring GANs: generating images from limited data paper on the Babies dataset? | FID |
What metrics were used to measure the OCR-R50-Repeat Factor-Lovasz model in the Effective semantic segmentation in Cataract Surgery: What matters most? paper on the CaDIS dataset? | Mean IoU (test), Mean IoU (val) |
What metrics were used to measure the DeepLabv3+-R50-Repeat Factor-Lovasz model in the Effective semantic segmentation in Cataract Surgery: What matters most? paper on the CaDIS dataset? | Mean IoU (test), Mean IoU (val) |
What metrics were used to measure the UPN-R50-Repeat Factor-Lovasz model in the Effective semantic segmentation in Cataract Surgery: What matters most? paper on the CaDIS dataset? | Mean IoU (test), Mean IoU (val) |
What metrics were used to measure the UPN model in the CaDIS: Cataract Dataset for Image Segmentation paper on the CaDIS dataset? | Mean IoU (test), Mean IoU (val) |
What metrics were used to measure the HRNetv2 model in the CaDIS: Cataract Dataset for Image Segmentation paper on the CaDIS dataset? | Mean IoU (test), Mean IoU (val) |
What metrics were used to measure the DeepLabv3+ model in the CaDIS: Cataract Dataset for Image Segmentation paper on the CaDIS dataset? | Mean IoU (test), Mean IoU (val) |
What metrics were used to measure the fftformer model in the Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the MADANet model in the Motion Aware Double Attention Network for Dynamic Scene Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the NAFNet-MH-C model in the Multi-Outputs Is All You Need For Deblur paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the M3SNet model in the A Mountain-Shaped Single-Stage Network for Accurate Image Restoration paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the NAFNet - TLC model in the Simple Baselines for Image Restoration paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the Restormer-TLC model in the Improving Image Restoration by Revisiting Global Information Aggregation paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the MPRNet-TLC model in the Improving Image Restoration by Revisiting Global Information Aggregation paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the MSDI-Net model in the Learning Degradation Representations for Image Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the ChaIR model in the Exploring the potential of channel interactions for image restoration paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the DeepRFT+ model in the Intriguing Findings of Frequency Selection for Image Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the IRNeXt model in the IRNeXt: Rethinking Convolutional Network Design for Image Restoration paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the HINet-TLC model in the Improving Image Restoration by Revisiting Global Information Aggregation paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the MHNet model in the Mixed Hierarchy Network for Image Restoration paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the Uformer-B model in the Uformer: A General U-Shaped Transformer for Image Restoration paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the Restormer model in the Restormer: Efficient Transformer for High-Resolution Image Restoration paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the MAXIM-3S model in the MAXIM: Multi-Axis MLP for Image Processing paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the HINet model in the HINet: Half Instance Normalization Network for Image Restoration paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the MIMO-UNet++ model in the Rethinking Coarse-to-Fine Approach in Single Image Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the MPRNet model in the Multi-Stage Progressive Image Restoration paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the MB2D model in the Blur More To Deblur Better: Multi-Blur2Deblur For Efficient Video Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the RADNet model in the Motion Deblurring with an Adaptive Network paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the SAPHNet model in the Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the Learning Event-Based Motion Deblurring model in the Learning Event-Based Motion Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the SRN+PSS+NSC model in the Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the DMPHN model in the Deep Stacked Hierarchical Multi-patch Network for Image Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the SDWNet model in the SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the MT-RNN model in the Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the DBCPeNet model in the Dark and Bright Channel Prior Embedded Network for Dynamic Scene Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the DBGAN model in the Deblurring by Realistic Blurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the ESTRNN model in the Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the IR-SDE model in the Image Restoration with Mean-Reverting Stochastic Differential Equations paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the Blurred-Image-to-Video model in the Bringing Alive Blurred Moments paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the DeepDeblur-PyTorch model in the paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the DeblurGAN-v2 model in the DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the Nah et al model in the Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the STFAN model in the Spatio-Temporal Filter Adaptive Network for Video Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the DeblurGANv2-MobileNet model in the DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the DeblurGANv2-MobileNet-DSC model in the DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the BANet model in the BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the SRN model in the Scale-recurrent Network for Deep Image Deblurring paper on the GoPro dataset? | PSNR, SSIM, Params (M), FID, LPIPS |
What metrics were used to measure the DDNM model in the Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model paper on the CelebA dataset? | FID, PSNR, SSIM |
What metrics were used to measure the DDRM model in the Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model paper on the CelebA dataset? | FID, PSNR, SSIM |
What metrics were used to measure the A+y model in the Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model paper on the CelebA dataset? | FID, PSNR, SSIM |
What metrics were used to measure the SDWNet model in the SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring paper on the RealBlur-R(trained on GoPro) dataset? | PSNR |
What metrics were used to measure the MHNet model in the Mixed Hierarchy Network for Image Restoration paper on the HIDE (trained on GOPRO) dataset? | PSNR, SSIM |
What metrics were used to measure the M3SNet model in the A Mountain-Shaped Single-Stage Network for Accurate Image Restoration paper on the HIDE (trained on GOPRO) dataset? | PSNR, SSIM |
What metrics were used to measure the M3SNet model in the A Mountain-Shaped Single-Stage Network for Accurate Image Restoration paper on the HIDE dataset? | PSNR, SSIM |
What metrics were used to measure the MAXIM-3S model in the MAXIM: Multi-Axis MLP for Image Processing paper on the HIDE dataset? | PSNR, SSIM |
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