prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the NanoNet model in the NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy paper on the KvasirCapsule-SEG dataset? | DSC, mIoU |
What metrics were used to measure the ResUNet+ model in the ResUNet++: An Advanced Architecture for Medical Image Segmentation paper on the KvasirCapsule-SEG dataset? | DSC, mIoU |
What metrics were used to measure the Swin UNETR model in the Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis paper on the Medical Segmentation Decathlon dataset? | Dice (Average), NSD |
What metrics were used to measure the DiNTS model in the DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation paper on the Medical Segmentation Decathlon dataset? | Dice (Average), NSD |
What metrics were used to measure the nnUNet model in the nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation paper on the Medical Segmentation Decathlon dataset? | Dice (Average), NSD |
What metrics were used to measure the Models Genesis model in the Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis paper on the Medical Segmentation Decathlon dataset? | Dice (Average), NSD |
What metrics were used to measure the Trans VW model in the Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning paper on the Medical Segmentation Decathlon dataset? | Dice (Average), NSD |
What metrics were used to measure the DoubleUNet model in the DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation paper on the 2015 MICCAI Polyp Detection dataset? | Dice |
What metrics were used to measure the Sessiz çığlık model in the 0-Hecke modules for row-strict dual immaculate functions paper on the 1,078 People 3D Faces Collection Data dataset? | 10% |
What metrics were used to measure the GENESIS-V2 model in the GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement paper on the ObjectsRoom dataset? | FID |
What metrics were used to measure the GENESIS model in the GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement paper on the ObjectsRoom dataset? | FID |
What metrics were used to measure the MONET-G model in the GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement paper on the ObjectsRoom dataset? | FID |
What metrics were used to measure the VAEBM model in the VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models paper on the Stacked MNIST dataset? | FID, Inception score |
What metrics were used to measure the PresGAN model in the Prescribed Generative Adversarial Networks paper on the Stacked MNIST dataset? | FID, Inception score |
What metrics were used to measure the EBM on x model in the Implicit Generation and Modeling with Energy Based Models paper on the Stacked MNIST dataset? | FID, Inception score |
What metrics were used to measure the RIN model in the Scalable Adaptive Computation for Iterative Generation paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the VDM++ model in the Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the CDM model in the Cascaded Diffusion Models for High Fidelity Image Generation paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the CTM model in the Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the CTM (NFE 1) model in the Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the ADM (dropout) model in the Diffusion Models Beat GANs on Image Synthesis paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Improved DDPM model in the Improved Denoising Diffusion Probabilistic Models paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the CD (Diffusion + Distillation, NFE=2) model in the Consistency Models paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the CD (Diffusion + Distillation, NFE=1) model in the Consistency Models paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the CT (Direct Generation, NFE=2) model in the Consistency Models paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the CT (Direct Generation, NFE=1) model in the Consistency Models paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the PGMGAN model in the Partition-Guided GANs paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the GLIDE + CLIP + CLS + CLS-FREE model in the Composing Ensembles of Pre-trained Models via Iterative Consensus paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the GLIDE + CLS-FREE model in the Composing Ensembles of Pre-trained Models via Iterative Consensus paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the GLIDE + CLIP model in the Composing Ensembles of Pre-trained Models via Iterative Consensus paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the GLIDE +CLS model in the Composing Ensembles of Pre-trained Models via Iterative Consensus paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Efficient-VDVAE model in the Efficient-VDVAE: Less is more paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the DenseFlow-74-10 model in the Densely connected normalizing flows paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the VDM model in the Variational Diffusion Models paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Combiner-Axial model in the Combiner: Full Attention Transformer with Sparse Computation Cost paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Routing Transformer model in the Efficient Content-Based Sparse Attention with Routing Transformers paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Sparse Transformer 59M (strided) model in the Generating Long Sequences with Sparse Transformers paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the MRCNF model in the Multi-Resolution Continuous Normalizing Flows paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Hourglass model in the Hierarchical Transformers Are More Efficient Language Models paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Combiner-Mixture model in the Combiner: Full Attention Transformer with Sparse Computation Cost paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the SPN model in the Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Very Deep VAE model in the Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the PixelCNN model in the PixelCNN Models with Auxiliary Variables for Natural Image Modeling paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Gated PixelCNN (van den Oord et al., [2016c]) model in the Conditional Image Generation with PixelCNN Decoders paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Performer (12 layers) model in the Rethinking Attention with Performers paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Flow++ model in the Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the MaCow (Var) model in the MaCow: Masked Convolutional Generative Flow paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Parallel Multiscale model in the Parallel Multiscale Autoregressive Density Estimation paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the MALI model in the MALI: A memory efficient and reverse accurate integrator for Neural ODEs paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Reformer (12 layers) model in the Reformer: The Efficient Transformer paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Performer (6 layers) model in the Rethinking Attention with Performers paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Reformer (6 layers) model in the Reformer: The Efficient Transformer paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the MaCow (Unf) model in the MaCow: Masked Convolutional Generative Flow paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Residual Flow model in the Residual Flows for Invertible Generative Modeling paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Glow (Kingma and Dhariwal, 2018) model in the Glow: Generative Flow with Invertible 1x1 Convolutions paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Axial Transformer (6 layers) model in the Axial Attention in Multidimensional Transformers paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the Logsparse (6 layers) model in the Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting paper on the ImageNet 64x64 dataset? | FID, Bits per dim, NFE, Inception Score, KID |
What metrics were used to measure the GENESIS-V2 model in the GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement paper on the ShapeStacks dataset? | FID |
What metrics were used to measure the GENESIS model in the GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement paper on the ShapeStacks dataset? | FID |
What metrics were used to measure the MONET-G model in the GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement paper on the ShapeStacks dataset? | FID |
What metrics were used to measure the Spiking-Diffusion model in the Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks paper on the EMNIST-Letters dataset? | FID |
What metrics were used to measure the Spiking-Diffusion model in the Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks paper on the KMNIST dataset? | FID |
What metrics were used to measure the Efficient-VDVAE model in the Efficient-VDVAE: Less is more paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the SPN Menick and Kalchbrenner (2019) model in the Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the MaCow (Var) model in the MaCow: Masked Convolutional Generative Flow paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the LSGM model in the Score-based Generative Modeling in Latent Space paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the NVAE w/ flow model in the NVAE: A Deep Hierarchical Variational Autoencoder paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the ANF Huang et al. (2020) model in the Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the Locally Masked PixelCNN model in the Locally Masked Convolution for Autoregressive Models paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the MaCow (Unf) model in the MaCow: Masked Convolutional Generative Flow paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the Residual Flow model in the Residual Flows for Invertible Generative Modeling paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the Glow (Kingma and Dhariwal, 2018) model in the Glow: Generative Flow with Invertible 1x1 Convolutions paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the StyleSwin model in the StyleSwin: Transformer-based GAN for High-resolution Image Generation paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the HiT-B model in the Improved Transformer for High-Resolution GANs paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the VQGAN model in the Taming Transformers for High-Resolution Image Synthesis paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the StyleALAE model in the Adversarial Latent Autoencoders paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the NCP-VAE model in the A Contrastive Learning Approach for Training Variational Autoencoder Priors paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the MSP model in the Latent Space Factorisation and Manipulation via Matrix Subspace Projection paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the GLF+perceptual loss (ours) model in the Generative Latent Flow paper on the CelebA 256x256 dataset? | bpd, FID, bpd (8-bits) |
What metrics were used to measure the DPT model in the Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels paper on the ImageNet 256x256 - 1% labeled data dataset? | FID-50k, sFID, IS, Precision, Recall |
What metrics were used to measure the U-Net GAN model in the A U-Net Based Discriminator for Generative Adversarial Networks paper on the CelebA-HQ 128x128 dataset? | FID, Inception score, IS |
What metrics were used to measure the COCO-GAN model in the COCO-GAN: Generation by Parts via Conditional Coordinating paper on the CelebA-HQ 128x128 dataset? | FID, Inception score, IS |
What metrics were used to measure the PA-GAN model in the Progressive Augmentation of GANs paper on the CelebA-HQ 128x128 dataset? | FID, Inception score, IS |
What metrics were used to measure the CR+LT-SNDCGAN model in the LT-GAN: Self-Supervised GAN with Latent Transformation Detection paper on the CelebA-HQ 128x128 dataset? | FID, Inception score, IS |
What metrics were used to measure the CR-GAN model in the Consistency Regularization for Generative Adversarial Networks paper on the CelebA-HQ 128x128 dataset? | FID, Inception score, IS |
What metrics were used to measure the SS-GAN (sBN) model in the Self-Supervised GANs via Auxiliary Rotation Loss paper on the CelebA-HQ 128x128 dataset? | FID, Inception score, IS |
What metrics were used to measure the QSNGAN model in the Quaternion Generative Adversarial Networks paper on the CelebA-HQ 128x128 dataset? | FID, Inception score, IS |
What metrics were used to measure the VDM++ model in the Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the StyleGAN-XL model in the StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the Poly-INR model in the Polynomial Implicit Neural Representations For Large Diverse Datasets paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the BIGRoC-gt (Guided-Diffusion) model in the BIGRoC: Boosting Image Generation via a Robust Classifier paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the RIN model in the Scalable Adaptive Computation for Iterative Generation paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the BIGRoC-pl (Guided-Diffusion) model in the BIGRoC: Boosting Image Generation via a Robust Classifier paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the ADM-G model in the Diffusion Models Beat GANs on Image Synthesis paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the CDM model in the Cascaded Diffusion Models for High Fidelity Image Generation paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the BigGAN-deep model in the Large Scale GAN Training for High Fidelity Natural Image Synthesis paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the LeCAM + DA model in the Regularizing Generative Adversarial Networks under Limited Data paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the CR-BigGAN model in the Consistency Regularization for Generative Adversarial Networks paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
What metrics were used to measure the DiffAugment-BigGAN model in the Differentiable Augmentation for Data-Efficient GAN Training paper on the ImageNet 128x128 dataset? | FID, IS, Precision, Recall |
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