prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the MANet model in the Multiattention network for semantic segmentation of fine-resolution remote sensing images paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the UNetFormer model in the UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the ABCNet model in the ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the ViTAE-B + RVSA -UperNet model in the Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the RSP-ViTAEv2-S-UperNet model in the An Empirical Study of Remote Sensing Pretraining paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the BANet model in the Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the RSP-Swin-T-UperNet model in the An Empirical Study of Remote Sensing Pretraining paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the ViT-B + RVSA-UperNet model in the Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the RSP-ResNet-50-UperNet model in the An Empirical Study of Remote Sensing Pretraining paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the EMSANet (2x ResNet-34 NBt1D, PanopticNDT version, finetuned) model in the PanopticNDT: Efficient and Robust Panoptic Mapping paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the PolyMaX(ConvNeXt-L) model in the PolyMaX: General Dense Prediction with Mask Transformer paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the DFormer-L model in the DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the CMX (B5) model in the CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the CMNeXt (B4) model in the Delivering Arbitrary-Modal Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the OMNIVORE (Swin-L, finetuned) model in the Omnivore: A Single Model for Many Visual Modalities paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the CMX (B4) model in the CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the MultiMAE (ViT-B) model in the MultiMAE: Multi-modal Multi-task Masked Autoencoders paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the SMMCL (SegNeXt-B) model in the Understanding Dark Scenes by Contrasting Multi-Modal Observations paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the DFormer-B model in the DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ComPtr (Swin-B) model in the ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the OMNIVORE (Swin-B, finetuned) model in the Omnivore: A Single Model for Many Visual Modalities paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the CMX (B2) model in the CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the TokenFusion (S) model in the Multimodal Token Fusion for Vision Transformers paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the SMMCL (SegFormer-B2) model in the Understanding Dark Scenes by Contrasting Multi-Modal Observations paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the DFormer-S model in the DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the InvPT model in the InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the HS3-Fuse (ResNet-101) model in the HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the PDCNet (ResNet-101) model in the Pixel Difference Convolutional Network for RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the EMSANet (2x ResNet-34 NBt1D, finetuned) model in the Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the DCANet (ResNet-101) model in the DCANet: Differential Convolution Attention Network for RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the TokenFusion (Ti) model in the Multimodal Token Fusion for Vision Transformers paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the InverseForm (ResNet-101) model in the InverseForm: A Loss Function for Structured Boundary-Aware Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the CEN-PSPNet (ResNet-152) model in the Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the AMF (ResNet-50) model in the Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the SMMCL (ResNet-101) model in the Understanding Dark Scenes by Contrasting Multi-Modal Observations paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the SA-Gate model in the Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Warp-Refine model in the Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the FSFNet model in the Deep feature selection-and-fusion for RGB-D semantic segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the AsymFormer model in the AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the VCD+ACNet (ResNet-50) model in the Variational Context-Deformable ConvNets for Indoor Scene Parsing paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the DFormer-T model in the DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ShapeConv (ResNext-101) model in the ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the EMSAFormer (SwinV2-T-128-Multi-Aug) model in the Efficient Multi-Task Scene Analysis with RGB-D Transformers paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Z-ACN (ResNet-101) model in the Depth-Adapted CNNs for RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the AsymFusion (ResNet-152) model in the Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the DynMM (ResNet-50) model in the Dynamic Multimodal Fusion paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the SGNet (ResNet-101) model in the Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the PSD-ResNet50 model in the Pattern-Structure Diffusion for Multi-Task Learning paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Malleable 2.5D (ResNet-101) model in the Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ICM model in the Scene Parsing via Integrated Classification Model and Variance-Based Regularization paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the SANet model in the Multi-layer Feature Aggregation for Deep Scene Parsing Models paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the VCD+RedNet (ResNet-50) model in the Variational Context-Deformable ConvNets for Indoor Scene Parsing paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the HaarNet model in the HaarNet: Large-scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the PAP (ResNet-50) model in the Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Cerberus model in the Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ESANet (R34-NBt1D) model in the Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Z-ACN (ResNet-50) model in the Depth-Adapted CNNs for RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Malleable 2.5D (ResNet-50) model in the Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the MMANet model in the MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the SGACNet (R34-NBt1D) model in the Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ComPtr (Swin-T) model in the ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Z-ACN (ResNet-34) model in the Depth-Adapted CNNs for RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the UMT model in the Improving Multi-Modal Learning with Uni-Modal Teachers paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the MTI-Net (HRNet-48) model in the MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ShapeConv (ResNet-101) model in the ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the MKE model in the Multimodal Knowledge Expansion paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ShapeConv (ResNet-50) model in the ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the mmFormer model in the mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ACNet model in the ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the SGACNet (R18-NBt1D) model in the Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ESANet (R18-NBt1D ) model in the Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the RFNet model in the RFNet: Region-Aware Fusion Network for Incomplete Multi-Modal Brain Tumor Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the TupleInfoNCE model in the Contrastive Multimodal Fusion with TupleInfoNCE paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the DDSC (ResNet-101) model in the Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the CFN model in the Cascaded Feature Network for Semantic Segmentation of RGB-D Images paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the FDNet (DenseNet264) model in the Learning Fully Dense Neural Networks for Image Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the RedNet model in the RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Z-ACN (ResNet-18) model in the Depth-Adapted CNNs for RGB-D Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the TRL (ResNet-101) model in the Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the RefineNet (ResNet-101) model in the RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the ATRC model in the Exploring Relational Context for Multi-Task Dense Prediction paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the LS-DeconvNet model in the Locality-Sensitive Deconvolution Networks With Gated Fusion for RGB-D Indoor Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the VCD+DeepLab (VGG16) model in the Variational Context-Deformable ConvNets for Indoor Scene Parsing paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the SOSD-Net model in the SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the MMAF-Net-152 model in the Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the RecurrentSceneParsing model in the Recurrent Scene Parsing with Perspective Understanding in the Loop paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Light-Weight-RefineNet-152 model in the Light-Weight RefineNet for Real-Time Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Depth-aware CNN model in the Depth-aware CNN for RGB-D Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Light-Weight-RefineNet-101 model in the Light-Weight RefineNet for Real-Time Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the TD2-PSP50 model in the Temporally Distributed Networks for Fast Video Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the NDDR-CNN model in the NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the 3DGNN model in the 3D Graph Neural Networks for RGBD Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the CI-Net model in the CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Multi-Task Light-Weight-RefineNet model in the Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Light-Weight-RefineNet-50 model in the Light-Weight RefineNet for Real-Time Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the MTML model in the Multi-Task Meta Learning: learn how to adapt to unseen tasks paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the RAN model in the Semantic Segmentation with Reverse Attention paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the DenseMTL model in the Cross-task Attention Mechanism for Dense Multi-task Learning paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the STD2P model in the STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the MaskSup model in the Masked Supervised Learning for Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
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