prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the DensNet121 model in the CheXclusion: Fairness gaps in deep chest X-ray classifiers paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the G_Mans_v1 (single model): model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the 12ASLv2(single) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the DenseNet121 (single model) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the 12ASLv1(single) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the haw-baseline (single model) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the rayOfLight (ensemble) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the BASELINE DenseNet121 model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the Chest-x-ray classification using model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the BME_Final_v2 model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the {densenet121}{single model model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the autobot model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the {MLC02_DenseNet121} model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the efficiantB5 (single model) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the apalepu1 model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the Erdem (single) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the Adalab Standard (Single Model) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the Adalab Standard (single model) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the zeroshot_medclip_baseline (ensemble) model in the paper on the CheXpert dataset? | AVERAGE AUC ON 14 LABEL, NUM RADS BELOW CURVE |
What metrics were used to measure the Q2L-TResL(448 resolution) model in the Query2Label: A Simple Transformer Way to Multi-Label Classification paper on the PASCAL VOC 2012 dataset? | mAP |
What metrics were used to measure the MCAR (ResNet101, 448x448) model in the Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition paper on the PASCAL VOC 2012 dataset? | mAP |
What metrics were used to measure the Ours PF-DLDL model in the Deep Label Distribution Learning with Label Ambiguity paper on the PASCAL VOC 2012 dataset? | mAP |
What metrics were used to measure the MRNet model in the Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet paper on the MRNet dataset? | Average AUC, AUC on Abnormality (ABN), AUC on ACL Tear (ACL), AUC on Meniscus Tear (MEN), Average Accuracy, Accuracy on Abnormality (ABN), Accuracy on ACL Tear (ACL), Accuracy on Meniscus Tear (MEN) |
What metrics were used to measure the SKIDv3 model in the SKID: Self-Supervised Learning for Knee Injury Diagnosis from MRI Data paper on the MRNet dataset? | Average AUC, AUC on Abnormality (ABN), AUC on ACL Tear (ACL), AUC on Meniscus Tear (MEN), Average Accuracy, Accuracy on Abnormality (ABN), Accuracy on ACL Tear (ACL), Accuracy on Meniscus Tear (MEN) |
What metrics were used to measure the EigenPlaces model in the EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the CosPlace (ResNet-101 2048-D) model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the Patch-NetVLAD model in the Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the AnyLoc-VLAD-DINOv2 model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the NetVLAD model in the NetVLAD: CNN architecture for weakly supervised place recognition paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the GCL [trained only on MSLS] model in the Generalized Contrastive Optimization of Siamese Networks for Place Recognition paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Pittsburgh-30k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the St Lucia dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the St Lucia dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the AnyLoc-VLAD-DINOv2 model in the AnyLoc: Towards Universal Visual Place Recognition paper on the St Lucia dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the St Lucia dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the St Lucia dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the NetVLAD model in the NetVLAD: CNN architecture for weakly supervised place recognition paper on the St Lucia dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the St Lucia dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the None model in the SSC: Semantic Scan Context for Large-Scale Place Recognition paper on the KITTI dataset? | Average F1 |
What metrics were used to measure the AnyLoc-VLAD-DINOv2 model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Laurel Caverns dataset? | Recall@1 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the Laurel Caverns dataset? | Recall@1 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the Laurel Caverns dataset? | Recall@1 |
What metrics were used to measure the NetVLAD model in the NetVLAD: CNN architecture for weakly supervised place recognition paper on the Laurel Caverns dataset? | Recall@1 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Laurel Caverns dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Laurel Caverns dataset? | Recall@1 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the Laurel Caverns dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Mapillary val dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the CosPlace (ResNet-101 2048-D) model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the Mapillary val dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the ResNeXt GCL + PCA model in the Generalized Contrastive Optimization of Siamese Networks for Place Recognition paper on the Mapillary val dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the Conv-AP model in the GSV-Cities: Toward Appropriate Supervised Visual Place Recognition paper on the Mapillary val dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the NetVLAD (with GPM) model in the Global Proxy-based Hard Mining for Visual Place Recognition paper on the Mapillary val dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the Mapillary val dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the Patch-NetVLAD model in the Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition paper on the Mapillary val dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the ResNeXt GCL model in the Generalized Contrastive Optimization of Siamese Networks for Place Recognition paper on the Mapillary val dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Pittsburgh-250k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the EigenPlaces model in the EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition paper on the Pittsburgh-250k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the Conv-AP model in the GSV-Cities: Toward Appropriate Supervised Visual Place Recognition paper on the Pittsburgh-250k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the NetVLAD (with GPM) model in the Global Proxy-based Hard Mining for Visual Place Recognition paper on the Pittsburgh-250k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the Pittsburgh-250k-test dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the EigenPlaces model in the EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition paper on the San Francisco Landmark Dataset dataset? | Recall@1 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the SF-XL test v2 dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the EigenPlaces model in the EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition paper on the SF-XL test v2 dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the SPED dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the AnyLoc-VLAD-DINOv2 model in the AnyLoc: Towards Universal Visual Place Recognition paper on the 17 Places dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the 17 Places dataset? | Recall@1 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the 17 Places dataset? | Recall@1 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the 17 Places dataset? | Recall@1 |
What metrics were used to measure the NetVLAD model in the NetVLAD: CNN architecture for weakly supervised place recognition paper on the 17 Places dataset? | Recall@1 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the 17 Places dataset? | Recall@1 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the 17 Places dataset? | Recall@1 |
What metrics were used to measure the AnyLoc-VLAD-DINO model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Nardo-Air R dataset? | Recall@1 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the Nardo-Air R dataset? | Recall@1 |
What metrics were used to measure the AnyLoc-VLAD-DINOv2 model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Nardo-Air R dataset? | Recall@1 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the Nardo-Air R dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Nardo-Air R dataset? | Recall@1 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the Nardo-Air R dataset? | Recall@1 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Nardo-Air R dataset? | Recall@1 |
What metrics were used to measure the NetVLAD model in the NetVLAD: CNN architecture for weakly supervised place recognition paper on the Nardo-Air R dataset? | Recall@1 |
What metrics were used to measure the HEAPUtil model in the A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition paper on the Berlin Kudamm dataset? | Recall@1 |
What metrics were used to measure the SuperPoint & SuperGlue model in the SuperGlue: Learning Feature Matching with Graph Neural Networks paper on the Berlin Kudamm dataset? | Recall@1 |
What metrics were used to measure the HF-Net model in the From Coarse to Fine: Robust Hierarchical Localization at Large Scale paper on the Berlin Kudamm dataset? | Recall@1 |
What metrics were used to measure the NetVLAD model in the NetVLAD: CNN architecture for weakly supervised place recognition paper on the Berlin Kudamm dataset? | Recall@1 |
What metrics were used to measure the EigenPlaces model in the EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition paper on the AmsterTime dataset? | Recall@1 |
What metrics were used to measure the EigenPlaces model in the EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition paper on the Tokyo247 dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the Patch-NetVLAD model in the Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition paper on the Tokyo247 dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the Tokyo247 dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the GCL [trained only on MSLS] model in the Generalized Contrastive Optimization of Siamese Networks for Place Recognition paper on the Tokyo247 dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the CosPlace (ResNet-101 2048-D) model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the Tokyo247 dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the ResNeXt-GeM-GCL model in the Data-efficient Large Scale Place Recognition with Graded Similarity Supervision paper on the MSLS dataset? | Recall@1 |
What metrics were used to measure the CosPlace model in the Rethinking Visual Geo-localization for Large-Scale Applications paper on the MSLS dataset? | Recall@1 |
What metrics were used to measure the AnyLoc-VLAD-DINOv2 model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Mid-Atlantic Ridge dataset? | Recall@1 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the Mid-Atlantic Ridge dataset? | Recall@1 |
What metrics were used to measure the NetVLAD model in the NetVLAD: CNN architecture for weakly supervised place recognition paper on the Mid-Atlantic Ridge dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Mid-Atlantic Ridge dataset? | Recall@1 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Mid-Atlantic Ridge dataset? | Recall@1 |
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