prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the PSLA (Single) model in the PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the PANNs-CNN14 (Single) model in the PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the EAT-M model in the End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the Conformer (AS-2M) model in the Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the EAT-S model in the End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the WEANet-SUSTAIN model in the A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the VATT-Base model in the VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the Multi-Format Contrastive model in the Multi-Format Contrastive Learning of Audio Representations paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the MMV model in the Self-Supervised MultiModal Versatile Networks paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the CAV-MAE (Visual-Only) model in the Contrastive Audio-Visual Masked Autoencoder paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the L3 model in the Look, Listen and Learn paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the Triplet model in the Unsupervised Learning of Semantic Audio Representations paper on the AudioSet dataset? | Test mAP, AUC, d-prime |
What metrics were used to measure the BEATs model in the BEATs: Audio Pre-Training with Acoustic Tokenizers paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the mn40_as model in the Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the DyMN-L model in the Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the HTS-AT model in the HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the EAT-M model in the End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the ERANN-2-5 model in the ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the Audio Spectrogram Transformer model in the AST: Audio Spectrogram Transformer paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the EAT-S model in the End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the M2D ratio=0.7 model in the Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the Input paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the EAT-S (scratch) model in the End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the SepTr + LeRaC model in the LeRaC: Learning Rate Curriculum paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the SepTr model in the SepTr: Separable Transformer for Audio Spectrogram Processing paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the Multi-Format Contrastive model in the Multi-Format Contrastive Learning of Audio Representations paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the Multi-Channel Audio Feature with CNN model in the paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the AVID model in the Audio-Visual Instance Discrimination with Cross-Modal Agreement paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the ACDNet model in the Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the XDC model in the Self-Supervised Learning by Cross-Modal Audio-Video Clustering paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the XDC model in the Self-Supervised Learning by Cross-Modal Audio-Video Clustering paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the AVTS model in the Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the L3 model in the Look, Listen and Learn paper on the ESC-50 dataset? | Top-1 Accuracy, PRE-TRAINING DATASET, Accuracy (5-fold) |
What metrics were used to measure the AUCO ResNet model in the AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath paper on the DiCOVA dataset? | AUC |
What metrics were used to measure the DenseNet 201 model in the AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath paper on the DiCOVA dataset? | AUC |
What metrics were used to measure the Inception ResNet V2 model in the AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath paper on the DiCOVA dataset? | AUC |
What metrics were used to measure the XGBoost (330) model in the Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion paper on the DEEP-VOICE: DeepFake Voice Recognition dataset? | Accuracy (10-fold) |
What metrics were used to measure the SNN with Dilated Convolution with Learnable Spacings model in the Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings paper on the SHD dataset? | Percentage correct |
What metrics were used to measure the CNN model in the The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks paper on the SHD dataset? | Percentage correct |
What metrics were used to measure the Recurrent convolutional SNN model in the Fluctuation-driven initialization for spiking neural network training paper on the SHD dataset? | Percentage correct |
What metrics were used to measure the Recurrent SNN model in the The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks paper on the SHD dataset? | Percentage correct |
What metrics were used to measure the Sparse Spiking Gradient Descent model in the Sparse Spiking Gradient Descent paper on the SHD dataset? | Percentage correct |
What metrics were used to measure the FastSNN model in the Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks paper on the SHD dataset? | Percentage correct |
What metrics were used to measure the AST
(Patch-Mix CL) model in the Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the AFT on Mixed-500 model in the Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the AST
(fine-tuning) model in the Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the ResNet-50 model in the Lung Sound Classification Using Co-tuning and Stochastic Normalization paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the CNN6 (+metadata) model in the Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the CNN6 model in the Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the bi-ResNet-Att model in the ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the ResNet-34 model in the RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the ResNeSt model in the A DOMAIN TRANSFER BASED DATA AUGMENTATION METHOD FOR AUTOMATED RESPIRATORY CLASSIFICATION paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the CNN6
(scratch) model in the Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the ResNet-Att
(scratch) model in the LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogram paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the ResNet
(scratch) model in the LungRN+NL: An Improved Adventitious Lung Sound Classification Using Non-Local Block ResNet Neural Network with Mixup Data Augmentation paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the bi-ResNet
(scratch) model in the LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the AST (fine-tuning) model in the Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the CNN6
(+metadata) model in the Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning paper on the ICBHI Respiratory Sound Database dataset? | ICBHI Score, Sensitivity, Specificity |
What metrics were used to measure the [ABT] AudioNTT model in the Audio Barlow Twins: Self-Supervised Audio Representation Learning paper on the FSD50K dataset? | mAP |
What metrics were used to measure the AudioCLIP model in the AudioCLIP: Extending CLIP to Image, Text and Audio paper on the ESC-50 dataset? | Accuracy |
What metrics were used to measure the EAT-M model in the End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the EAT-S model in the End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the EAT-S (scratch) model in the End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the ESResNet model in the ESResNet: Environmental Sound Classification Based on Visual Domain Models paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the SB-CNN aug model in the Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the AUCO ResNet - NO TRANSFER / NO DATA AUGMENTATION model in the AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the SB-CNN noaug model in the Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the Stride-DS-24 model in the Environmental Sound Classification on Microcontrollers using Convolutional Neural Networks paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the FACE model in the Face: Fast, Accurate and Context-Aware Audio Annotation and Classification paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the PIPMN model in the Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the AudioCLIP model in the AudioCLIP: Extending CLIP to Image, Text and Audio paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the 1DCNN model in the End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network paper on the UrbanSound8K dataset? | Accuracy (10-fold), Accuracy |
What metrics were used to measure the µ2Net+ (ViT-L/16) model in the A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems paper on the UC Merced Land Use Dataset dataset? | Accuracy (%) |
What metrics were used to measure the ResNet50 model in the In-domain representation learning for remote sensing paper on the UC Merced Land Use Dataset dataset? | Accuracy (%) |
What metrics were used to measure the MSMatch model in the MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels paper on the UC Merced Land Use Dataset dataset? | Accuracy (%) |
What metrics were used to measure the WaveMix model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the Places365-Standard dataset? | Top 1 Error, Top 5 Error |
What metrics were used to measure the iSQRT-COV-Net (ResNet-50) model in the Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization paper on the Places365-Standard dataset? | Top 1 Error, Top 5 Error |
What metrics were used to measure the Two-stage ensemble system model in the A Two-Stage Approach to Device-Robust Acoustic Scene Classification paper on the TAU Urban Acoustic Scenes 2019 dataset? | 1:1 Accuracy |
What metrics were used to measure the ERGL: event relational graph representation learning model in the Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene Classification paper on the TUT Urban Acoustic Scenes 2018 dataset? | Acc |
What metrics were used to measure the Basic + Spectrum Correction model in the Spectrum Correction: Acoustic Scene Classification with Mismatched Recording Devices paper on the DCASE 2019 Mobile dataset? | Accuracy |
What metrics were used to measure the OmniPose (WASPv2) model in the OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation paper on the COCO dataset? | AP, AR, AP50, AP75, APL, APM |
What metrics were used to measure the BUCTD (PETR, with generative sampling) model in the Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity paper on the COCO dataset? | AP, AR, AP50, AP75, APL, APM |
What metrics were used to measure the I²R-Net (1st stage:HRFormer-B) model in the I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation paper on the COCO dataset? | AP, AR, AP50, AP75, APL, APM |
What metrics were used to measure the PATH (Partial FT) model in the HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining paper on the COCO dataset? | AP, AR, AP50, AP75, APL, APM |
What metrics were used to measure the SOLIDER (swin-B) model in the Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks paper on the COCO dataset? | AP, AR, AP50, AP75, APL, APM |
What metrics were used to measure the UniHCP (finetune) model in the UniHCP: A Unified Model for Human-Centric Perceptions paper on the COCO dataset? | AP, AR, AP50, AP75, APL, APM |
What metrics were used to measure the PEFORMER-Xcit-dino-p8 model in the PE-former: Pose Estimation Transformer paper on the COCO dataset? | AP, AR, AP50, AP75, APL, APM |
What metrics were used to measure the BUCTD (PETR, with generative sampling) model in the Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity paper on the COCO dataset? | AP, AR, AP50, AP75, APL, APM |
What metrics were used to measure the DECA-D3 model in the DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders paper on the ITOP top-view dataset? | Mean mAP |
What metrics were used to measure the DECA-D3 model in the DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders paper on the ITOP top-view dataset? | Mean mAP |
What metrics were used to measure the V2V-PoseNet model in the V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map paper on the ITOP top-view dataset? | Mean mAP |
What metrics were used to measure the Multi-task learning + viewpoint invariance model in the Towards Viewpoint Invariant 3D Human Pose Estimation paper on the ITOP top-view dataset? | Mean mAP |
What metrics were used to measure the REN model in the Towards Good Practices for Deep 3D Hand Pose Estimation paper on the ITOP top-view dataset? | Mean mAP |
What metrics were used to measure the Mid-Level based model in the Object Pose Estimation using Mid-level Visual Representations paper on the Pix3D dataset? | Percentage correct |
What metrics were used to measure the SPIGA model in the Shape Preserving Facial Landmarks with Graph Attention Networks paper on the MERL-RAV dataset? | MAE mean (º), MAE yaw (º), MAE pitch (º), MAE roll (º) |
What metrics were used to measure the LOGO-CAP (Ours) HRNet-W48 model in the paper on the COCO 2017 val dataset? | AP |
What metrics were used to measure the LOGO-CAP (Ours) HRNet-W32 model in the paper on the COCO 2017 val dataset? | AP |
What metrics were used to measure the PCT (swin-l, test set) model in the Human Pose as Compositional Tokens paper on the MPII Human Pose dataset? | PCKh-0.5 |
What metrics were used to measure the Soft-gated Skip Connections model in the Toward fast and accurate human pose estimation via soft-gated skip connections paper on the MPII Human Pose dataset? | PCKh-0.5 |
What metrics were used to measure the Cascade Feature Aggregation model in the Cascade Feature Aggregation for Human Pose Estimation paper on the MPII Human Pose dataset? | PCKh-0.5 |
What metrics were used to measure the PCT (swin-b, test set) model in the Human Pose as Compositional Tokens paper on the MPII Human Pose dataset? | PCKh-0.5 |
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