prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the Mid-Atlantic Ridge 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 Mid-Atlantic Ridge 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 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 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 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 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 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 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 dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Nordland 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 Nordland 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 Nordland 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 Nordland dataset? | Recall@1, Recall@10, Recall@5 |
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 Nordland 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 Gardens Point dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Gardens Point dataset? | Recall@1 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the Gardens Point 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 Gardens Point dataset? | Recall@1 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the Gardens Point 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 Gardens Point dataset? | Recall@1 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Gardens Point dataset? | Recall@1 |
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 test 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 Mapillary test dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the RexNeXt-GCL model in the Generalized Contrastive Optimization of Siamese Networks for Place Recognition paper on the Mapillary test dataset? | Recall@5, Recall@1, Recall@10 |
What metrics were used to measure the AnyLoc-VLAD-DINOv2 model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Oxford RobotCar 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 Oxford RobotCar Dataset dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Oxford RobotCar Dataset 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 Oxford RobotCar Dataset dataset? | Recall@1 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the Oxford RobotCar Dataset dataset? | Recall@1 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Oxford RobotCar Dataset dataset? | Recall@1 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the Oxford RobotCar Dataset 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 Baidu Mall dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Baidu Mall dataset? | Recall@1 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Baidu Mall 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 Baidu Mall dataset? | Recall@1 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the Baidu Mall dataset? | Recall@1 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the Baidu Mall 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 Baidu Mall dataset? | Recall@1 |
What metrics were used to measure the MinkLoc++ (LiDAR+RGB) model in the MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition paper on the Oxford RobotCar (LiDAR 4096 points+RGB) dataset? | recall@top1, recall@top1% |
What metrics were used to measure the CORAL model in the CORAL: Colored structural representation for bi-modal place recognition paper on the Oxford RobotCar (LiDAR 4096 points+RGB) dataset? | recall@top1, recall@top1% |
What metrics were used to measure the PIC-Net model in the PIC-Net: Point Cloud and Image Collaboration Network for Large-Scale Place Recognition paper on the Oxford RobotCar (LiDAR 4096 points+RGB) dataset? | recall@top1, recall@top1% |
What metrics were used to measure the AnyLoc-VLAD-DINOv2 model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Hawkins dataset? | Recall@1 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the Hawkins 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 Hawkins dataset? | Recall@1 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the Hawkins 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 Hawkins dataset? | Recall@1 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the Hawkins dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the Hawkins 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 Eynsham 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 VP-Air dataset? | Recall@1 |
What metrics were used to measure the DINOv2 model in the DINOv2: Learning Robust Visual Features without Supervision paper on the VP-Air dataset? | Recall@1 |
What metrics were used to measure the CLIP model in the AnyLoc: Towards Universal Visual Place Recognition paper on the VP-Air dataset? | Recall@1 |
What metrics were used to measure the DINO model in the Emerging Properties in Self-Supervised Vision Transformers paper on the VP-Air dataset? | Recall@1 |
What metrics were used to measure the MixVPR model in the MixVPR: Feature Mixing for Visual Place Recognition paper on the VP-Air 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 VP-Air 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 VP-Air 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 SF-XL test v1 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 SF-XL test v1 dataset? | Recall@1, Recall@10, Recall@5 |
What metrics were used to measure the PCGAN-CHAR model in the PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters paper on the Noisy Bangla Numeral dataset? | Accuracy |
What metrics were used to measure the Pixel-level RC model in the Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters paper on the Noisy Bangla Numeral dataset? | Accuracy |
What metrics were used to measure the DocXClassifier-L model in the DocXClassifier: High Performance Explainable Deep Network for Document Image Classification paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the DocBert [DOCBERT] model in the Efficient Document Image Classification Using Region-Based Graph Neural Network paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the Eff-GNN + Word2Vec [word2vec] model in the Efficient Document Image Classification Using Region-Based Graph Neural Network paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the Multimodal Side-Tuning (MobileNetV2) model in the Multimodal Side-Tuning for Document Classification paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the Multimodal Side-Tuning (ResNet50) model in the Multimodal Side-Tuning for Document Classification paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the DocBERT [DOCBERT] model in the Efficient Document Image Classification Using Region-Based Graph Neural Network paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the BERT [BERT] model in the Efficient Document Image Classification Using Region-Based Graph Neural Network paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the Eff-GNN + Word2Vec [word2vec] + Image Embedding model in the Efficient Document Image Classification Using Region-Based Graph Neural Network paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the Eff-GNN+ Word2Vec [word2vec] model in the Efficient Document Image Classification Using Region-Based Graph Neural Network paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the VGG model in the Efficient Document Image Classification Using Region-Based Graph Neural Network paper on the Tobacco-3482 dataset? | Accuracy, Memory |
What metrics were used to measure the Pixel-level RC model in the Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters paper on the n-MNIST dataset? | Accuracy |
What metrics were used to measure the ResNet-RS (ResNet-200 + RS training tricks) model in the Revisiting ResNets: Improved Training and Scaling Strategies paper on the AIP dataset? | Top 1 Accuracy - Verb |
What metrics were used to measure the PCGAN-CHAR model in the PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters paper on the Noisy Bangla Characters dataset? | Accuracy |
What metrics were used to measure the Pixel-level RC model in the Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters paper on the Noisy Bangla Characters dataset? | Accuracy |
What metrics were used to measure the EAML model in the EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the Cross-Modal model in the Visual and Textual Deep Feature Fusion for Document Image Classification paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the DocFormerBASE model in the DocFormer: End-to-End Transformer for Document Understanding paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the LayoutLMV3Large model in the LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the LiLT[EN-R]BASE model in the LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the LayoutLMv2LARGE model in the LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the TILT-Large model in the Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the DocFormer large model in the DocFormer: End-to-End Transformer for Document Understanding paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the LayoutLMv3BASE model in the LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the Donut model in the OCR-free Document Understanding Transformer paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the TILT-Base model in the Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the LayoutLMv2BASE model in the LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the LayoutXLM model in the LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the StrucTexTv2 (large) model in the StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the Pre-trained LayoutLM model in the LayoutLM: Pre-training of Text and Layout for Document Image Understanding paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the DocXClassifier-B model in the DocXClassifier: High Performance Explainable Deep Network for Document Image Classification paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the StrucTexTv2 (small) model in the StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the VLCDoC model in the VLCDoC: Vision-Language Contrastive Pre-Training Model for Cross-Modal Document Classification paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the TransferDoc model in the TransferDoc: A Self-Supervised Transferable Document Representation Learning Model Unifying Vision and Language paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the Multimodal (ResNet50) model in the Multimodal Side-Tuning for Document Classification paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the DiT-L model in the DiT: Self-supervised Pre-training for Document Image Transformer paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the Pre-trained EfficientNet model in the Improving accuracy and speeding up Document Image Classification through parallel systems paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the Transfer Learning from VGG16 trained on Imagenet model in the Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the Multimodal (MobileNetV2) model in the Multimodal Side-Tuning for Document Classification paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the DiT-B model in the DiT: Self-supervised Pre-training for Document Image Transformer paper on the RVL-CDIP dataset? | Accuracy, Parameters |
What metrics were used to measure the BEiT-B model in the BEiT: BERT Pre-Training of Image Transformers paper on the RVL-CDIP dataset? | Accuracy, Parameters |
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