prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the C-Tran, preprocessing, augmentation model in the Multi-Label Retinal Disease Classification using Transformers paper on the MuReD Dataset dataset? | ML F1, ML mAP, ML AUC |
What metrics were used to measure the ConvNext model in the A ConvNet for the 2020s paper on the InDL dataset? | Average Recall |
What metrics were used to measure the VGG16 model in the Very Deep Convolutional Networks for Large-Scale Image Recognition paper on the InDL dataset? | Average Recall |
What metrics were used to measure the DenseNet201 model in the Densely Connected Convolutional Networks paper on the InDL dataset? | Average Recall |
What metrics were used to measure the Inception ResNet V2 model in the Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning paper on the InDL dataset? | Average Recall |
What metrics were used to measure the Xception model in the Xception: Deep Learning with Depthwise Separable Convolutions paper on the InDL dataset? | Average Recall |
What metrics were used to measure the NASNetLarge model in the Learning Transferable Architectures for Scalable Image Recognition paper on the InDL dataset? | Average Recall |
What metrics were used to measure the Darknet53 model in the YOLOv3: An Incremental Improvement paper on the InDL dataset? | Average Recall |
What metrics were used to measure the ResNetV2_50 model in the ResNet strikes back: An improved training procedure in timm paper on the InDL dataset? | Average Recall |
What metrics were used to measure the EfficientNetV2 model in the EfficientNetV2: Smaller Models and Faster Training paper on the InDL dataset? | Average Recall |
What metrics were used to measure the MobileNetV3 model in the Searching for MobileNetV3 paper on the InDL dataset? | Average Recall |
What metrics were used to measure the DenseNet121 model in the Densely Connected Convolutional Networks paper on the XImageNet-12 dataset? | Robustness Score |
What metrics were used to measure the ResNet 50 model in the Deep Residual Learning for Image Recognition paper on the XImageNet-12 dataset? | Robustness Score |
What metrics were used to measure the VGG-16 model in the Very Deep Convolutional Networks for Large-Scale Image Recognition paper on the XImageNet-12 dataset? | Robustness Score |
What metrics were used to measure the ViT model in the An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale paper on the XImageNet-12 dataset? | Robustness Score |
What metrics were used to measure the Event Imge model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet (mini) dataset? | Accuracy (%) |
What metrics were used to measure the Event Histogram model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet (mini) dataset? | Accuracy (%) |
What metrics were used to measure the Timestamp Image model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet (mini) dataset? | Accuracy (%) |
What metrics were used to measure the DiST model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet (mini) dataset? | Accuracy (%) |
What metrics were used to measure the Sorted Time Surface model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet (mini) dataset? | Accuracy (%) |
What metrics were used to measure the Binary Event Image model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet (mini) dataset? | Accuracy (%) |
What metrics were used to measure the WaferSegClassNet model in the WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects paper on the MixedWM38 dataset? | Accuracy, MCC |
What metrics were used to measure the RECALL model in the RECALL: Rehearsal-free Continual Learning for Object Classification paper on the HOWS dataset? | Overall accuracy after last sequence |
What metrics were used to measure the 60_divisions model in the Burr detection and classification using RUSTICO and image processing paper on the Burr classification images dataset? | precision, recall, F1 |
What metrics were used to measure the 70_divisions model in the paper on the Burr classification images dataset? | precision, recall, F1 |
What metrics were used to measure the 80_divisions model in the paper on the Burr classification images dataset? | precision, recall, F1 |
What metrics were used to measure the MINTIME-XC model in the MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection paper on the ForgeryNet dataset? | AUC, Accuracy |
What metrics were used to measure the SlowFast R-50 model in the MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection paper on the ForgeryNet dataset? | AUC, Accuracy |
What metrics were used to measure the MINTIME-EF model in the MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection paper on the ForgeryNet dataset? | AUC, Accuracy |
What metrics were used to measure the lstm model in the Investigation of deep learning models on identification of minimum signal length for precise classification of conveyor rubber belt loads paper on the CORBEL dataset? | Accuracy |
What metrics were used to measure the CLIP-RN50x64 model in the IRFL: Image Recognition of Figurative Language paper on the IRFL: Image Recognition of Figurative Language dataset? | 1-of-100 Accuracy |
What metrics were used to measure the ELM Neuron model in the The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks paper on the SHD - Adding dataset? | Accuracy (%) |
What metrics were used to measure the LSTM model in the The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks paper on the SHD - Adding dataset? | Accuracy (%) |
What metrics were used to measure the LIF-SNN model in the The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks paper on the SHD - Adding dataset? | Accuracy (%) |
What metrics were used to measure the CoCa model in the CoCa: Contrastive Captioners are Image-Text Foundation Models paper on the ImageNet dataset? | Params(M) |
What metrics were used to measure the CNN + Attention + LSTM + CNN model in the Alternative non-BERT model choices for the textual classification in low-resource languages and environments paper on the Bengali Ekman's Six Basic Emotions Corpus dataset? | Accuracy (%) |
What metrics were used to measure the ViT-L/32-384 with Max-logit model in the A framework for benchmarking class-out-of-distribution detection and its application to ImageNet paper on the ImageNet C-OOD (class-out-of-distribution) dataset? | Detection AUROC (severity 0), Detection AUROC (severity 5), Detection AUROC (severity 10) |
What metrics were used to measure the ViT-L/32-384 with ODIN model in the A framework for benchmarking class-out-of-distribution detection and its application to ImageNet paper on the ImageNet C-OOD (class-out-of-distribution) dataset? | Detection AUROC (severity 0), Detection AUROC (severity 5), Detection AUROC (severity 10) |
What metrics were used to measure the ViT-L/32-384 with Entropy model in the A framework for benchmarking class-out-of-distribution detection and its application to ImageNet paper on the ImageNet C-OOD (class-out-of-distribution) dataset? | Detection AUROC (severity 0), Detection AUROC (severity 5), Detection AUROC (severity 10) |
What metrics were used to measure the ViT-L/32-384 with MC Dropout model in the A framework for benchmarking class-out-of-distribution detection and its application to ImageNet paper on the ImageNet C-OOD (class-out-of-distribution) dataset? | Detection AUROC (severity 0), Detection AUROC (severity 5), Detection AUROC (severity 10) |
What metrics were used to measure the ViT-L/32-384 with Softmax model in the A framework for benchmarking class-out-of-distribution detection and its application to ImageNet paper on the ImageNet C-OOD (class-out-of-distribution) dataset? | Detection AUROC (severity 0), Detection AUROC (severity 5), Detection AUROC (severity 10) |
What metrics were used to measure the CASS model in the CASS: Cross Architectural Self-Supervision for Medical Image Analysis paper on the ISIC 2019 dataset? | Balanced Multi-Class Accuracy |
What metrics were used to measure the Event Spike Tensor model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the DiST model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the Sorted Time Surface model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the Event Histogram model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the HATS model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the Binary Event Image model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the Timestamp Image model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the Event Image model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the Time Surface model in the N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras paper on the N-ImageNet dataset? | Accuracy (%) |
What metrics were used to measure the SGD_ss model in the A Sequence-to-Sequence Approach to Dialogue State Tracking paper on the SGD dataset? | F1 (Seqeval) |
What metrics were used to measure the WeaSEL model in the End-to-End Weak Supervision paper on the BiasBios dataset? | 1:1 Accuracy |
What metrics were used to measure the MARS Encoder model in the One Agent To Rule Them All: Towards Multi-agent Conversational AI paper on the BBAI Dataset dataset? | P@1 |
What metrics were used to measure the GPT-2-with-filter model in the Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio paper on the Lipogram-e dataset? | Ignored Constraint Error Rate |
What metrics were used to measure the GPT-2-fine-tuned-20-epochs model in the Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio paper on the Lipogram-e dataset? | Ignored Constraint Error Rate |
What metrics were used to measure the GPT-2-fine-tuned-5-epochs model in the Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio paper on the Lipogram-e dataset? | Ignored Constraint Error Rate |
What metrics were used to measure the GPT-2-no-fine-tuning model in the Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio paper on the Lipogram-e dataset? | Ignored Constraint Error Rate |
What metrics were used to measure the Approach0+ColBERT (reranking) model in the Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval paper on the ARQMath2 - Task 1 dataset? | P@10, MAP, NDCG, bpref |
What metrics were used to measure the Approach0+ColBERT (fusion) model in the Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval paper on the ARQMath2 - Task 1 dataset? | P@10, MAP, NDCG, bpref |
What metrics were used to measure the IMP-MoE-L model in the Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the MAXI model in the MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the VideoCoCa model in the VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the Text4Vis model in the Revisiting Classifier: Transferring Vision-Language Models for Video Recognition paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the BIKE model in the Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the X-CLIP model in the Expanding Language-Image Pretrained Models for General Video Recognition paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the LanguageBind model in the LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the JigsawNet model in the Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ER-ZSAR (ST+Obj) model in the Elaborative Rehearsal for Zero-shot Action Recognition paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ER-ZSAR (ST) model in the Elaborative Rehearsal for Zero-shot Action Recognition paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the DEVISE model in the DeViSE: A Deep Visual-Semantic Embedding Model paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the DEM model in the Learning a Deep Embedding Model for Zero-Shot Learning paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ALE model in the Label-Embedding for Image Classification paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the ESZSL model in the An embarrassingly simple approach to zero-shot learning paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the GCN model in the All About Knowledge Graphs for Actions paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the SJE(Word Embedding) model in the Evaluation of Output Embeddings for Fine-Grained Image Classification paper on the Kinetics dataset? | Top-1 Accuracy, Top-5 Accuracy |
What metrics were used to measure the MSQNet model in the Actor-agnostic Multi-label Action Recognition with Multi-modal Query paper on the Charades dataset? | mAP |
What metrics were used to measure the VideoCoCa model in the VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners paper on the Charades dataset? | mAP |
What metrics were used to measure the MAXI model in the MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge paper on the Charades dataset? | mAP |
What metrics were used to measure the CLIP-Hitchhiker (ViT-B/16, 32 frames) model in the A CLIP-Hitchhiker's Guide to Long Video Retrieval paper on the Charades dataset? | mAP |
What metrics were used to measure the IMP-MoE-L model in the Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the MOV (ViT-L/14) model in the Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the VideoCoCa model in the VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the BIKE model in the Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the Text4Vis model in the Revisiting Classifier: Transferring Vision-Language Models for Video Recognition paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the EVA-CLIP-E/14+ model in the EVA-CLIP: Improved Training Techniques for CLIP at Scale paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the MOV (ViT-B/16) model in the Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the MAXI model in the MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the VicTR (ViT-B/16) model in the VicTR: Video-conditioned Text Representations for Activity Recognition paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the X-CLIP model in the Expanding Language-Image Pretrained Models for General Video Recognition paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the ResT model in the Cross-modal Representation Learning for Zero-shot Action Recognition paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the AURL model in the Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the JigsawNet model in the Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the CLASTER model in the CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the ER-ZSAR model in the Elaborative Rehearsal for Zero-shot Action Recognition paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the E2E model in the Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the SPOT model in the Synthetic Sample Selection for Generalized Zero-Shot Learning paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the TS-GCN model in the I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the O2A model in the Objects2action: Classifying and localizing actions without any video example paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
What metrics were used to measure the ASR model in the Alternative Semantic Representations for Zero-Shot Human Action Recognition paper on the UCF101 dataset? | Top-1 Accuracy, Top-5 accuracy |
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