prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Multi-Mono-SF model in the Self-Supervised Multi-Frame Monocular Scene Flow paper on the KITTI 2015 Scene Flow Test dataset? | SF-all, Fl-all, D1-all, D2-all, Runtime (s) |
What metrics were used to measure the Self-Mono-SF model in the Self-Supervised Monocular Scene Flow Estimation paper on the KITTI 2015 Scene Flow Test dataset? | SF-all, Fl-all, D1-all, D2-all, Runtime (s) |
What metrics were used to measure the EPC++ model in the Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding paper on the KITTI 2015 Scene Flow Training dataset? | D1-all, D2-all, Fl-all, SF-all, Runtime (s) |
What metrics were used to measure the EPC model in the Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding paper on the KITTI 2015 Scene Flow Training dataset? | D1-all, D2-all, Fl-all, SF-all, Runtime (s) |
What metrics were used to measure the Multi-Mono-SF model in the Self-Supervised Multi-Frame Monocular Scene Flow paper on the KITTI 2015 Scene Flow Training dataset? | D1-all, D2-all, Fl-all, SF-all, Runtime (s) |
What metrics were used to measure the Self-Mono-SF model in the Self-Supervised Monocular Scene Flow Estimation paper on the KITTI 2015 Scene Flow Training dataset? | D1-all, D2-all, Fl-all, SF-all, Runtime (s) |
What metrics were used to measure the ELSD model in the ELSD: Efficient Line Segment Detector and Descriptor paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the F-Clip model in the Fully Convolutional Line Parsing paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the HT-HAWP model in the Deep Hough-Transform Line Priors paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the HAWP model in the Holistically-Attracted Wireframe Parsing paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the L-CNN model in the End-to-End Wireframe Parsing paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the TP-LSD model in the TP-LSD: Tri-Points Based Line Segment Detector paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the M-LSD model in the Towards Light-weight and Real-time Line Segment Detection paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the MCMLSD model in the MCMLSD: A Dynamic Programming Approach to Line Segment Detection paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the ULSD model in the ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the LSDNet model in the LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection paper on the wireframe dataset dataset? | sAP5, sAP10, sAP15, FH |
What metrics were used to measure the ELSED model in the ELSED: Enhanced Line SEgment Drawing paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the F-Clip model in the Fully Convolutional Line Parsing paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the ELSD model in the ELSD: Efficient Line Segment Detector and Descriptor paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the TP-LSD model in the TP-LSD: Tri-Points Based Line Segment Detector paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the HAWP model in the Holistically-Attracted Wireframe Parsing paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the HT-HAWP model in the Deep Hough-Transform Line Priors paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the M-LSD model in the Towards Light-weight and Real-time Line Segment Detection paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the L-CNN model in the End-to-End Wireframe Parsing paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the MCMLSD model in the MCMLSD: A Dynamic Programming Approach to Line Segment Detection paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the LETR model in the Line Segment Detection Using Transformers without Edges paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the ULSD model in the ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the LSDNet model in the LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection paper on the York Urban Dataset dataset? | F1 score, sAP5, sAP10, sAP15, FH |
What metrics were used to measure the VTFSA model in the Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters paper on the DogCentric dataset? | Accuracy |
What metrics were used to measure the word-1, 2 POS-1, 2, 3 model in the Identifying Well-formed Natural Language Questions paper on the Query Wellformedness dataset? | Accuracy |
What metrics were used to measure the HAPPIER model in the Hierarchical Average Precision Training for Pertinent Image Retrieval paper on the DyML-Product dataset? | Average-mAP |
What metrics were used to measure the CSL model in the Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales paper on the DyML-Product dataset? | Average-mAP |
What metrics were used to measure the HAPPIER model in the Hierarchical Average Precision Training for Pertinent Image Retrieval paper on the DyML-Animal dataset? | Average-mAP |
What metrics were used to measure the CSL model in the Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales paper on the DyML-Animal dataset? | Average-mAP |
What metrics were used to measure the Unicom+ViT-L@336px model in the Unicom: Universal and Compact Representation Learning for Image Retrieval paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the STIR model in the STIR: Siamese Transformer for Image Retrieval Postprocessing paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the MGA model in the Fashion Image Retrieval with Multi-Granular Alignment paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the Hyp-ViT model in the Hyperbolic Vision Transformers: Combining Improvements in Metric Learning paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the Hyp-DINO model in the Hyperbolic Vision Transformers: Combining Improvements in Metric Learning paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the CCL (ResNet-50) model in the Center Contrastive Loss for Metric Learning paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the Gradient Surgery model in the Dissecting the impact of different loss functions with gradient surgery paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Metrix model in the It Takes Two to Tango: Mixup for Deep Metric Learning paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the ViT-Triplet model in the STIR: Siamese Transformer for Image Retrieval Postprocessing paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the NED model in the Calibrated neighborhood aware confidence measure for deep metric learning paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the ResNet-50 + ProxyNCA++ model in the ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Cross-Entropy model in the A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the SCT(512) model in the Hard negative examples are hard, but useful paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the EPSHN(512) model in the Improved Embeddings with Easy Positive Triplet Mining paper on the In-Shop dataset? | R@1 |
What metrics were used to measure the Unicom+ViT-L@336px model in the Unicom: Universal and Compact Representation Learning for Image Retrieval paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the Hyp-DINO 8x8 model in the Hyperbolic Vision Transformers: Combining Improvements in Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the NED model in the Calibrated neighborhood aware confidence measure for deep metric learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Intra-Batch (ensemble of 5) model in the Learning Intra-Batch Connections for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + AVSL model in the Attributable Visual Similarity Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the CCL (ResNet-50) model in the Center Contrastive Loss for Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet50 + Language model in the Integrating Language Guidance into Vision-based Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Metrix model in the It Takes Two to Tango: Mixup for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet50 + S2SD model in the S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the Recall@k Surrogate loss (ViT-B/16) model in the Recall@k Surrogate Loss with Large Batches and Similarity Mixup paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Cross-Entropy model in the A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the Hyp-DINO model in the Hyperbolic Vision Transformers: Combining Improvements in Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet50 + NIR model in the Non-isotropy Regularization for Proxy-based Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the Margin + DAS model in the DAS: Densely-Anchored Sampling for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the BN-Inception + Proxy-Anchor model in the Proxy Anchor Loss for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the Recall@k Surrogate loss (ResNet-50) model in the Recall@k Surrogate Loss with Large Batches and Similarity Mixup paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Intra-Batch model in the Learning Intra-Batch Connections for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ABE + HORDE model in the Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the MS + SEC + DAS model in the DAS: Densely-Anchored Sampling for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet50 + DiVA model in the DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ProxyAnchor + DIML model in the Towards Interpretable Deep Metric Learning with Structural Matching paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + ProxyNCA++ model in the ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the Gradient Surgery model in the Dissecting the impact of different loss functions with gradient surgery paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the Hyp-ViT model in the Hyperbolic Vision Transformers: Combining Improvements in Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the Group Loss model in the The Group Loss for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ABE-8-512 model in the Attention-based Ensemble for Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the BN-Inception + SoftTriple model in the SoftTriple Loss: Deep Metric Learning Without Triplet Sampling paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet50 (128) + PADS model in the PADS: Policy-Adapted Sampling for Visual Similarity Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the CircleLoss model in the Circle Loss: A Unified Perspective of Pair Similarity Optimization paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the EPSHN(512) model in the Improved Embeddings with Easy Positive Triplet Mining paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet50 (128) + MIC model in the MIC: Mining Interclass Characteristics for Improved Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Margin model in the Sampling Matters in Deep Embedding Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the GoogLeNet + HDML model in the Hardness-Aware Deep Metric Learning paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the EPSHN(64) model in the Improved Embeddings with Easy Positive Triplet Mining paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the SCT(64) model in the Hard negative examples are hard, but useful paper on the CARS196 dataset? | R@1 |
What metrics were used to measure the Unicom+ViT-L@336px model in the Unicom: Universal and Compact Representation Learning for Image Retrieval paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the Hyp-ViT model in the Hyperbolic Vision Transformers: Combining Improvements in Metric Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the NED model in the Calibrated neighborhood aware confidence measure for deep metric learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the CCL (ResNet-50) model in the Center Contrastive Loss for Metric Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + AVSL model in the Attributable Visual Similarity Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Intra-Batch Connections model in the Learning Intra-Batch Connections for Deep Metric Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Metrix model in the It Takes Two to Tango: Mixup for Deep Metric Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet50 + Language model in the Integrating Language Guidance into Vision-based Deep Metric Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the BN-Inception + Proxy-Anchor model in the Proxy Anchor Loss for Deep Metric Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet50 + NIR model in the Non-isotropy Regularization for Proxy-based Deep Metric Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet50 + S2SD model in the S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + Cross-Entropy model in the A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet50 + DiVA model in the DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet-50 + ProxyNCA++ model in the ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the MS + DIML model in the Towards Interpretable Deep Metric Learning with Structural Matching paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ResNet50 (128) + PADS model in the PADS: Policy-Adapted Sampling for Visual Similarity Learning paper on the CUB-200-2011 dataset? | R@1 |
What metrics were used to measure the ABE + HORDE model in the Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings paper on the CUB-200-2011 dataset? | R@1 |
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