prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the MoCoGAN-MDP model in the Markov Decision Process for Video Generation paper on the UCF-101 16 frames, Unconditional, Single GPU dataset? | Inception Score |
What metrics were used to measure the TGAN-SVC model in the Temporal Generative Adversarial Nets with Singular Value Clipping paper on the UCF-101 16 frames, Unconditional, Single GPU dataset? | Inception Score |
What metrics were used to measure the VGAN model in the Generating Videos with Scene Dynamics paper on the UCF-101 16 frames, Unconditional, Single GPU dataset? | Inception Score |
What metrics were used to measure the TPS model in the Image Shape Manipulation from a Single Augmented Training Sample paper on the LRS2 dataset? | LPIPS (S1), LPIPS (S2), LPIPS (S3), LPIPS (S4), LPIPS (S5), SIFID (S1), SIFID (S2), SIFID (S3), SIFID (S4), SIFID (S5) |
What metrics were used to measure the Pix2PixHD-SIA model in the Image Shape Manipulation from a Single Augmented Training Sample paper on the LRS2 dataset? | LPIPS (S1), LPIPS (S2), LPIPS (S3), LPIPS (S4), LPIPS (S5), SIFID (S1), SIFID (S2), SIFID (S3), SIFID (S4), SIFID (S5) |
What metrics were used to measure the AMIE+ model in the RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools paper on the RuDaS dataset? | H-Score, R-Score |
What metrics were used to measure the FOIL model in the RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools paper on the RuDaS dataset? | H-Score, R-Score |
What metrics were used to measure the Neural-LP model in the RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools paper on the RuDaS dataset? | H-Score, R-Score |
What metrics were used to measure the NTP model in the RuDaS: Synthetic Datasets for Rule Learning and Evaluation Tools paper on the RuDaS dataset? | H-Score, R-Score |
What metrics were used to measure the Two Branch Network (Text - Bert + Image - Nts-Net) model in the Are These Birds Similar: Learning Branched Networks for Fine-grained Representations paper on the CUB-200-2011 dataset? | Accuracy |
What metrics were used to measure the DINet+FT|Ref model in the $n$-Reference Transfer Learning for Saliency Prediction paper on the SALICON->WebpageSaliency - 5-shot dataset? | NSS, AUC, CC |
What metrics were used to measure the DINet+FT|Ref model in the $n$-Reference Transfer Learning for Saliency Prediction paper on the SALICON->WebpageSaliency - EUB dataset? | NSS, AUC, CC |
What metrics were used to measure the DINet+FT|Ref model in the $n$-Reference Transfer Learning for Saliency Prediction paper on the SALICON->WebpageSaliency - 1-shot dataset? | NSS, AUC, CC |
What metrics were used to measure the ResNet+FT|Ref model in the $n$-Reference Transfer Learning for Saliency Prediction paper on the SALICON->WebpageSaliency - 1-shot dataset? | NSS, AUC, CC |
What metrics were used to measure the DINet+FT|Ref model in the $n$-Reference Transfer Learning for Saliency Prediction paper on the SALICON->WebpageSaliency - 10-shot dataset? | NSS, AUC, CC |
What metrics were used to measure the HaloGraphNet model in the Inferring halo masses with Graph Neural Networks paper on the CAMELS dataset? | R^2, absolute relative error |
What metrics were used to measure the LipGAN model in the Towards Automatic Face-to-Face Translation paper on the LRW dataset? | LMD, SSIM |
What metrics were used to measure the EmoGen model in the Emotionally Enhanced Talking Face Generation paper on the CREMA-D dataset? | EmoAcc, FID, LSE-C |
What metrics were used to measure the APTM model in the Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark paper on the RSTPReid dataset? | R@1, R@10, R@5, mAP |
What metrics were used to measure the RaSa model in the RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search paper on the RSTPReid dataset? | R@1, R@10, R@5, mAP |
What metrics were used to measure the IRRA model in the Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval paper on the RSTPReid dataset? | R@1, R@10, R@5, mAP |
What metrics were used to measure the DSSL model in the DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval paper on the RSTPReid dataset? | R@1, R@10, R@5, mAP |
What metrics were used to measure the APTM model in the Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark paper on the ICFG-PEDES dataset? | R@1, R@5, R@10, mAP |
What metrics were used to measure the RaSa model in the RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search paper on the ICFG-PEDES dataset? | R@1, R@5, R@10, mAP |
What metrics were used to measure the PLIP-RN50 model in the PLIP: Language-Image Pre-training for Person Representation Learning paper on the ICFG-PEDES dataset? | R@1, R@5, R@10, mAP |
What metrics were used to measure the SRCF model in the A Simple and Robust Correlation Filtering Method for Text-based Person Search paper on the ICFG-PEDES dataset? | R@1, R@5, R@10, mAP |
What metrics were used to measure the SSAN model in the Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification paper on the ICFG-PEDES dataset? | R@1, R@5, R@10, mAP |
What metrics were used to measure the APTM model in the Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the RaSa model in the RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the IRRA model in the Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the VGSG (ViT-Base) model in the VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the PLIP-RN50 model in the PLIP: Language-Image Pre-training for Person Representation Learning paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the SRCF model in the A Simple and Robust Correlation Filtering Method for Text-based Person Search paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the SAF model in the Learning Semantic-Aligned Feature Representation for Text-based Person Search paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the TextReID model in the Text-Based Person Search with Limited Data paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the TIPCB model in the TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the AXM-Net model in the AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the SSAN model in the Semantically Self-Aligned Network for Text-to-Image Part-aware Person Re-identification paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the DSSL model in the DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the NAFS model in the Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the HGAN model in the Hierarchical Gumbel Attention Network for Text-based Person Search paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the CMAAM model in the Text-based Person Search via Attribute-aided Matching paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the ViTAA model in the ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the MIA model in the Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the CMPM+CMPC model in the Deep Cross-Modal Projection Learning for Image-Text Matching paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the Dual Path model in the Dual-Path Convolutional Image-Text Embeddings with Instance Loss paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the GLA model in the Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association paper on the CUHK-PEDES dataset? | R@1, R@5, R@10, mAP, mINP |
What metrics were used to measure the GLC model in the Upcycling Models under Domain and Category Shift paper on the DomainNet dataset? | H-Score, Source-free |
What metrics were used to measure the GATE model in the Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation paper on the DomainNet dataset? | H-Score, Source-free |
What metrics were used to measure the OVANet model in the OVANet: One-vs-All Network for Universal Domain Adaptation paper on the DomainNet dataset? | H-Score, Source-free |
What metrics were used to measure the DCC model in the Domain Consensus Clustering for Universal Domain Adaptation paper on the DomainNet dataset? | H-Score, Source-free |
What metrics were used to measure the CMU model in the Learning to Detect Open Classes for Universal Domain Adaptation paper on the DomainNet dataset? | H-Score, Source-free |
What metrics were used to measure the UMAD model in the UMAD: Universal Model Adaptation under Domain and Category Shift paper on the DomainNet dataset? | H-Score, Source-free |
What metrics were used to measure the UAN model in the Universal Domain Adaptation paper on the DomainNet dataset? | H-Score, Source-free |
What metrics were used to measure the SHOT-O model in the Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation paper on the DomainNet dataset? | H-Score, Source-free |
What metrics were used to measure the GLC model in the Upcycling Models under Domain and Category Shift paper on the Office-31 dataset? | H-score, Source-Free |
What metrics were used to measure the GATE model in the Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation paper on the Office-31 dataset? | H-score, Source-Free |
What metrics were used to measure the UMAD model in the UMAD: Universal Model Adaptation under Domain and Category Shift paper on the Office-31 dataset? | H-score, Source-Free |
What metrics were used to measure the OVANet model in the OVANet: One-vs-All Network for Universal Domain Adaptation paper on the Office-31 dataset? | H-score, Source-Free |
What metrics were used to measure the DCC model in the Domain Consensus Clustering for Universal Domain Adaptation paper on the Office-31 dataset? | H-score, Source-Free |
What metrics were used to measure the CMU model in the Learning to Detect Open Classes for Universal Domain Adaptation paper on the Office-31 dataset? | H-score, Source-Free |
What metrics were used to measure the UAN model in the Universal Domain Adaptation paper on the Office-31 dataset? | H-score, Source-Free |
What metrics were used to measure the GLC model in the Upcycling Models under Domain and Category Shift paper on the Office-Home dataset? | H-Score, Source-free |
What metrics were used to measure the GATE model in the Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation paper on the Office-Home dataset? | H-Score, Source-free |
What metrics were used to measure the OVANet model in the OVANet: One-vs-All Network for Universal Domain Adaptation paper on the Office-Home dataset? | H-Score, Source-free |
What metrics were used to measure the DCC model in the Domain Consensus Clustering for Universal Domain Adaptation paper on the Office-Home dataset? | H-Score, Source-free |
What metrics were used to measure the UMAD model in the UMAD: Universal Model Adaptation under Domain and Category Shift paper on the Office-Home dataset? | H-Score, Source-free |
What metrics were used to measure the CMU model in the Learning to Detect Open Classes for Universal Domain Adaptation paper on the Office-Home dataset? | H-Score, Source-free |
What metrics were used to measure the UAN model in the Universal Domain Adaptation paper on the Office-Home dataset? | H-Score, Source-free |
What metrics were used to measure the SHOT-O model in the Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation paper on the Office-Home dataset? | H-Score, Source-free |
What metrics were used to measure the GLC model in the Upcycling Models under Domain and Category Shift paper on the VisDA2017 dataset? | H-score, Source-free |
What metrics were used to measure the UMAD model in the UMAD: Universal Model Adaptation under Domain and Category Shift paper on the VisDA2017 dataset? | H-score, Source-free |
What metrics were used to measure the GATE model in the Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation paper on the VisDA2017 dataset? | H-score, Source-free |
What metrics were used to measure the OVANet model in the OVANet: One-vs-All Network for Universal Domain Adaptation paper on the VisDA2017 dataset? | H-score, Source-free |
What metrics were used to measure the SHOT-O model in the Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation paper on the VisDA2017 dataset? | H-score, Source-free |
What metrics were used to measure the DCC model in the Domain Consensus Clustering for Universal Domain Adaptation paper on the VisDA2017 dataset? | H-score, Source-free |
What metrics were used to measure the UAN model in the Universal Domain Adaptation paper on the VisDA2017 dataset? | H-score, Source-free |
What metrics were used to measure the rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC_all dataset? | Detection Rate |
What metrics were used to measure the rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC12 dataset? | Detection Rate |
What metrics were used to measure the Large-scale rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC_all dataset? | CorLoc |
What metrics were used to measure the rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC_all dataset? | CorLoc |
What metrics were used to measure the OSD model in the Unsupervised Image Matching and Object Discovery as Optimization paper on the VOC_all dataset? | CorLoc |
What metrics were used to measure the IMST model in the K-means for unsupervised instance segmentation using a self-supervised transformer paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the MOVE + CAD model in the MOVE: Unsupervised Movable Object Segmentation and Detection paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the MOVE model in the MOVE: Unsupervised Movable Object Segmentation and Detection paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the TokenCut + CAD model in the Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the TokenCut model in the Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the LOST + CAD model in the Localizing Objects with Self-Supervised Transformers and no Labels paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the rOSD + CAD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the LOST model in the Localizing Objects with Self-Supervised Transformers and no Labels paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the DDT+ model in the Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming paper on the COCO_20k dataset? | CorLoc |
What metrics were used to measure the rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the Object Discovery dataset? | CorLoc |
What metrics were used to measure the OSD model in the Unsupervised Image Matching and Object Discovery as Optimization paper on the Object Discovery dataset? | CorLoc |
What metrics were used to measure the rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC_6x2 dataset? | CorLoc |
What metrics were used to measure the OSD model in the Unsupervised Image Matching and Object Discovery as Optimization paper on the VOC_6x2 dataset? | CorLoc |
What metrics were used to measure the Large-scale rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC12 dataset? | CorLoc |
What metrics were used to measure the rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC12 dataset? | CorLoc |
What metrics were used to measure the Large-scale rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC12 dataset? | Detection Rate |
What metrics were used to measure the rOSD model in the Toward unsupervised, multi-object discovery in large-scale image collections paper on the VOC12 dataset? | Detection Rate |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.