prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the PNP Loss model in the Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough paper on the SOP dataset? | R@1 |
What metrics were used to measure the Cross-Batch Memory model in the Cross-Batch Memory for Embedding Learning paper on the SOP dataset? | R@1 |
What metrics were used to measure the Smooth-AP model in the Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval paper on the SOP dataset? | R@1 |
What metrics were used to measure the NormSoftmax2048 (ResNet-50) model in the Classification is a Strong Baseline for Deep Metric Learning paper on the SOP dataset? | R@1 |
What metrics were used to measure the EPSHN512 model in the Improved Embeddings with Easy Positive Triplet Mining paper on the SOP dataset? | R@1 |
What metrics were used to measure the MS512 model in the Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning paper on the SOP dataset? | R@1 |
What metrics were used to measure the ABE-8 model in the Attention-based Ensemble for Deep Metric Learning paper on the SOP dataset? | R@1 |
What metrics were used to measure the A-BIER model in the Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly paper on the SOP dataset? | R@1 |
What metrics were used to measure the HDC model in the Hard-Aware Deeply Cascaded Embedding paper on the SOP dataset? | R@1 |
What metrics were used to measure the BLIP-2 ViT-G (zero-shot, 1K test set) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the Flickr30k dataset? | Recall@10, Recall@5, Recall@1, Recall@Sum, Image-to-text R@1, Image-to-text R@10, Image-to-text R@5, QPS |
What metrics were used to measure the BLIP-2 ViT-L (zero-shot, 1K test set) model in the BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models paper on the Flickr30k dataset? | Recall@10, Recall@5, Recall@1, Recall@Sum, Image-to-text R@1, Image-to-text R@10, Image-to-text R@5, QPS |
What metrics were used to measure the MaMMUT (ours) model in the MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks paper on the Flickr30k dataset? | Recall@10, Recall@5, Recall@1, Recall@Sum, Image-to-text R@1, Image-to-text R@10, Image-to-text R@5, QPS |
What metrics were used to measure the LGSGM model in the A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval paper on the Flickr30k dataset? | Recall@10, Recall@5, Recall@1, Recall@Sum, Image-to-text R@1, Image-to-text R@10, Image-to-text R@5, QPS |
What metrics were used to measure the GSMN model in the A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval paper on the Flickr30k dataset? | Recall@10, Recall@5, Recall@1, Recall@Sum, Image-to-text R@1, Image-to-text R@10, Image-to-text R@5, QPS |
What metrics were used to measure the VisualSparta model in the VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words paper on the Flickr30k dataset? | Recall@10, Recall@5, Recall@1, Recall@Sum, Image-to-text R@1, Image-to-text R@10, Image-to-text R@5, QPS |
What metrics were used to measure the IHDA model in the Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval paper on the PKU SketchRe-ID Dataset dataset? | R1 |
What metrics were used to measure the CTL Model (ResNet50-IBN-A, 320x320) model in the On the Unreasonable Effectiveness of Centroids in Image Retrieval paper on the Exact Street2Shop dataset? | Rank-1, Rank-10, Rank-20, mAP, Rank-50 |
What metrics were used to measure the RST Model (ResNet50-IBN-A, 320x320) model in the A Strong Baseline for Fashion Retrieval with Person Re-Identification Models paper on the Exact Street2Shop dataset? | Rank-1, Rank-10, Rank-20, mAP, Rank-50 |
What metrics were used to measure the CTL Model (ResNet50, 256x128) model in the On the Unreasonable Effectiveness of Centroids in Image Retrieval paper on the Exact Street2Shop dataset? | Rank-1, Rank-10, Rank-20, mAP, Rank-50 |
What metrics were used to measure the ResNet101+ArcFace GLDv2-train-clean model in the Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval paper on the Google Landmarks Dataset v2 (retrieval, validation) dataset? | mAP@100 |
What metrics were used to measure the SuperGlobal model in the Global Features are All You Need for Image Retrieval and Reranking paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the Hypergraph propagation+community selection model in the Hypergraph Propagation and Community Selection for Objects Retrieval paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the Token model in the Learning Token-based Representation for Image Retrieval paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the DELG+ α QE reranking+ RRT reranking model in the Instance-level Image Retrieval using Reranking Transformers paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the FIRe model in the Learning Super-Features for Image Retrieval paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the HOW model in the Learning and aggregating deep local descriptors for instance-level recognition paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the ResNet101+ArcFace GLDv2-train-clean model in the Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the DELF–HQE+SP model in the Large-Scale Image Retrieval with Attentive Deep Local Features paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the HesAff–rSIFT–HQE+SP model in the Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the DELF–ASMK*+SP model in the Large-Scale Image Retrieval with Attentive Deep Local Features paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the HesAff–rSIFT–HQE model in the Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the R–GeM model in the Fine-tuning CNN Image Retrieval with No Human Annotation paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the HesAff–rSIFT–ASMK*+SP model in the Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the HesAff–rSIFT–ASMK* model in the Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the HesAff–rSIFT–SMK*+SP model in the Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the HesAff–rSIFT–SMK* model in the Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the R–R-MAC model in the Particular object retrieval with integral max-pooling of CNN activations paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the R – [O] –MAC model in the Particular object retrieval with integral max-pooling of CNN activations paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the R – [O] –CroW model in the Cross-dimensional Weighting for Aggregated Deep Convolutional Features paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the HesAff–rSIFT–VLAD model in the Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the R – [O] –SPoC model in the Aggregating Deep Convolutional Features for Image Retrieval paper on the ROxford (Hard) dataset? | mAP |
What metrics were used to measure the ADAPT-I2T model in the FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptions paper on the FooDI-ML (Spain) dataset? | A-R@1, A-R@10, A-R@5, Re-R@1, Re-R@10, Re-R@5 |
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 iNaturalist dataset? | R@1, R@16, R@32, R@5 |
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 iNaturalist dataset? | R@1, R@16, R@32, R@5 |
What metrics were used to measure the ROADMAP (DeiT-S) model in the Robust and Decomposable Average Precision for Image Retrieval paper on the iNaturalist dataset? | R@1, R@16, R@32, R@5 |
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 iNaturalist dataset? | R@1, R@16, R@32, R@5 |
What metrics were used to measure the HAPPIER_F (ResNet-50) model in the Hierarchical Average Precision Training for Pertinent Image Retrieval paper on the iNaturalist dataset? | R@1, R@16, R@32, R@5 |
What metrics were used to measure the HAPPIER (ResNet-50) model in the Hierarchical Average Precision Training for Pertinent Image Retrieval paper on the iNaturalist dataset? | R@1, R@16, R@32, R@5 |
What metrics were used to measure the ROADMAP (ResNet-50) model in the Robust and Decomposable Average Precision for Image Retrieval paper on the iNaturalist dataset? | R@1, R@16, R@32, R@5 |
What metrics were used to measure the Smooth-AP model in the Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval paper on the iNaturalist dataset? | R@1, R@16, R@32, R@5 |
What metrics were used to measure the PNP Loss model in the Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough paper on the iNaturalist dataset? | R@1, R@16, R@32, R@5 |
What metrics were used to measure the ADAPT-I2T model in the FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptions paper on the FooDI-ML (Global) dataset? | A-R@1, A-R@10, A-R@5, Re-R@1, Re-R@10, Re-R@5 |
What metrics were used to measure the Custom: 3 conv + 2 fcn model in the Deep Supervised Hashing for Fast Image Retrieval paper on the CIFAR-10 dataset? | Average-mAP |
What metrics were used to measure the ContextualCLIP model in the Image Retrieval from Contextual Descriptions paper on the ImageCoDe dataset? | Accuracy |
What metrics were used to measure the CASE model in the Data Roaming and Early Fusion for Composed Image Retrieval paper on the LaSCo dataset? | Recall@1 (%) |
What metrics were used to measure the BLIP4CIR model in the Data Roaming and Early Fusion for Composed Image Retrieval paper on the LaSCo dataset? | Recall@1 (%) |
What metrics were used to measure the CLIP4CIR model in the Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based Features paper on the LaSCo dataset? | Recall@1 (%) |
What metrics were used to measure the IHDA model in the Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo Retrieval paper on the PKU-Reid dataset? | R1 |
What metrics were used to measure the CN-CLIP (ViT-L/14@336px) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the Flickr30k-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the R2D2 (ViT-L/14) model in the CCMB: A Large-scale Chinese Cross-modal Benchmark paper on the Flickr30k-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the CN-CLIP (ViT-H/14) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the Flickr30k-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the CN-CLIP (ViT-L/14) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the Flickr30k-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the CN-CLIP (ViT-B/16) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the Flickr30k-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the R2D2 (ViT-B) model in the CCMB: A Large-scale Chinese Cross-modal Benchmark paper on the Flickr30k-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the Wukong (ViT-L/14) model in the Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark paper on the Flickr30k-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the Wukong (ViT-B/32) model in the Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark paper on the Flickr30k-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the CN-CLIP (RN50) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the Flickr30k-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the IME layer model in the Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval paper on the INSTRE dataset? | MAP |
What metrics were used to measure the CTL Model (ResNet50-IBN-A, 320x320) model in the On the Unreasonable Effectiveness of Centroids in Image Retrieval paper on the DeepFashion - Consumer-to-shop dataset? | mAP, Rank-1, Rank-10, Rank-20, Rank-50 |
What metrics were used to measure the RST Model (ResNet50-IBN-A, 320x320) model in the A Strong Baseline for Fashion Retrieval with Person Re-Identification Models paper on the DeepFashion - Consumer-to-shop dataset? | mAP, Rank-1, Rank-10, Rank-20, Rank-50 |
What metrics were used to measure the CTL Model (ResNet50, 256x128) model in the On the Unreasonable Effectiveness of Centroids in Image Retrieval paper on the DeepFashion - Consumer-to-shop dataset? | mAP, Rank-1, Rank-10, Rank-20, Rank-50 |
What metrics were used to measure the GRNet (GoogleNet, 224x224) model in the Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid paper on the DeepFashion - Consumer-to-shop dataset? | mAP, Rank-1, Rank-10, Rank-20, Rank-50 |
What metrics were used to measure the CN-CLIP (ViT-H/14) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the COCO-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the CN-CLIP (ViT-L/14@336px) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the COCO-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the R2D2 (ViT-L/14) model in the CCMB: A Large-scale Chinese Cross-modal Benchmark paper on the COCO-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the CN-CLIP (ViT-L/14) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the COCO-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the CN-CLIP (ViT-B/16) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the COCO-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the R2D2 (ViT-B) model in the CCMB: A Large-scale Chinese Cross-modal Benchmark paper on the COCO-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the Wukong (ViT-L/14) model in the Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark paper on the COCO-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the Wukong (ViT-B/32) model in the Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark paper on the COCO-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the CN-CLIP (RN50) model in the Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese paper on the COCO-CN dataset? | R@1, R@10, R@5 |
What metrics were used to measure the X-VLM (base) model in the Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the RCAR model in the Plug-and-Play Regulators for Image-Text Matching paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the SGRAF model in the Similarity Reasoning and Filtration for Image-Text Matching paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the LGSGM model in the A Deep Local and Global Scene-Graph Matching for Image-Text Retrieval paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the VisualSparta model in the VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the TERAN MrSw model in the Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the TERAN Symm. model in the Fine-grained Visual Textual Alignment for Cross-Modal Retrieval using Transformer Encoders paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the VSRN model in the Visual Semantic Reasoning for Image-Text Matching paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the CAMP model in the CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the SCAN i-t model in the Stacked Cross Attention for Image-Text Matching paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the SCO model in the Learning Semantic Concepts and Order for Image and Sentence Matching paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the DAN model in the Dual Attention Networks for Multimodal Reasoning and Matching paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the 2WayNet (VGG) model in the Linking Image and Text with 2-Way Nets paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the SM-LSTM (VGG) model in the Instance-aware Image and Sentence Matching with Selective Multimodal LSTM paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the SPE model in the Learning Deep Structure-Preserving Image-Text Embeddings paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the mCNN model in the Multimodal Convolutional Neural Networks for Matching Image and Sentence paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the HGLMM FV model in the Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the DVSA (R-CNN, AlexNet) model in the Deep Visual-Semantic Alignments for Generating Image Descriptions paper on the Flickr30K 1K test dataset? | R@1, R@5, R@10 |
What metrics were used to measure the CGD (MG/SG) model in the Combination of Multiple Global Descriptors for Image Retrieval paper on the CUB-200-2011 dataset? | R@1, R@2, R@4, R@8 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.