prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the HeMIS model in the HeMIS: Hetero-Modal Image Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the TD4-PSP18 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 Bayesian DenseNet model in the What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the HN-network model in the RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the CompL model in the Composite Learning for Robust and Effective Dense Predictions paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Dilated FCN-2s RGB model in the Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the AdaShare model in the AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the EDNAS+JAReD model in the Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the Cross-stitch model in the Cross-stitch Networks for Multi-task Learning paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the FCN-32s RGB-HHA model in the Fully Convolutional Networks for Semantic Segmentation paper on the NYU Depth v2 dataset? | Mean IoU, Mean Accuracy |
What metrics were used to measure the CMNeXt (RGB-D-E-Li) model in the Delivering Arbitrary-Modal Semantic Segmentation paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the CMNeXt (RGB-D-LiDAR) model in the Delivering Arbitrary-Modal Semantic Segmentation paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the CMNeXt (RGB-D-Event) model in the Delivering Arbitrary-Modal Semantic Segmentation paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the CMNeXt (RGB-Depth) model in the Delivering Arbitrary-Modal Semantic Segmentation paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the CMX (RGB-Depth) model in the CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the TokenFusion (RGB-Depth) model in the Multimodal Token Fusion for Vision Transformers paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the CMNeXt (RGB-LiDAR) model in the Delivering Arbitrary-Modal Semantic Segmentation paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the CMNeXt (RGB-Event) model in the Delivering Arbitrary-Modal Semantic Segmentation paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the SegFormer model in the SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the CMX (RGB-Event) model in the CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the CMX (RGB-LiDAR) model in the CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the TokenFusion (RGB-LiDAR) model in the Multimodal Token Fusion for Vision Transformers paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the HRFuser (RGB-D-E-Li) model in the HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the HRFuser (RGB-D-LiDAR) model in the HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the HRFuser (RGB-Depth) model in the HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the HRFuser (RGB-D-Event) model in the HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the HRFuser (RGB) model in the HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the TokenFusion (RGB-Event) model in the Multimodal Token Fusion for Vision Transformers paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the HRFuser (RGB-LiDAR) model in the HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the HRFuser (RGB-Event) model in the HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection paper on the DeLiVER dataset? | mIoU |
What metrics were used to measure the EVA model in the EVA: Exploring the Limits of Masked Visual Representation Learning at Scale paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the RSSeg-ViT-L (BEiT pretrain) model in the Representation Separation for Semantic Segmentation with Vision Transformers paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the RSSeg-ViT-L model in the Representation Separation for Semantic Segmentation with Vision Transformers paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the SegViT (ours) model in the SegViT: Semantic Segmentation with Plain Vision Transformers paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the SenFormer (Swin-L) model in the Efficient Self-Ensemble for Semantic Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the CAA (Efficientnet-B7) model in the Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the HRNetV2 + OCR + RMI (PaddleClas pretrained) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the DRAN(ResNet-101) model in the Scene Segmentation with Dual Relation-aware Attention Network paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the CAA (ResNet-101) model in the Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the OCR (HRNetV2-W48) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the EMANet model in the Expectation-Maximization Attention Networks for Semantic Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the DANet (ResNet-101) model in the Dual Attention Network for Scene Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the SVCNet (ResNet-101) model in the Semantic Correlation Promoted Shape-Variant Context for Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the OCR (ResNet-101) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the Asymmetric ALNN model in the Asymmetric Non-local Neural Networks for Semantic Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the CCL (ResNet-101) model in the Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation paper on the COCO-Stuff test dataset? | mIoU |
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 COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the DAG-RNN (VGG-16) model in the DAG-Recurrent Neural Networks For Scene Labeling paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the FCN (VGG-16) model in the Fully Convolutional Networks for Semantic Segmentation paper on the COCO-Stuff test dataset? | mIoU |
What metrics were used to measure the TADP model in the Text-image Alignment for Diffusion-based Perception paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the Refign (HRDA) model in the Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the Refign (DAFormer) model in the Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the MGCDA model in the Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the DANNet (PSPNet) model in the DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the GCMA model in the Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the ERF-PSPNet model in the See Clearer at Night: Towards Robust Nighttime Semantic Segmentation through Day-Night Image Conversion paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the DANNet (DeepLab-v2) model in the DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the DANNet (RefineNet) model in the DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the CIConv model in the Zero-Shot Day-Night Domain Adaptation with a Physics Prior paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the DMAda model in the Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime paper on the Nighttime Driving dataset? | mIoU |
What metrics were used to measure the EfficientSeg model in the EfficientSeg: An Efficient Semantic Segmentation Network paper on the Cityscapes VIPriors subset dataset? | Accuracy, mIoU |
What metrics were used to measure the Swin3D-L model in the Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the DeLA model in the Decoupled Local Aggregation for Point Cloud Learning paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PonderV2 + SparseUNet model in the PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PointHR model in the PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PPT + SparseUNet model in the Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the SAT (FAT) model in the SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PTv2 model in the Point Transformer V2: Grouped Vector Attention and Partition-based Pooling paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PT + ERDA model in the All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PointVector-XL model in the PointVector: A Vector Representation In Point Cloud Analysis paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the WindowNorm+StratifiedTransformer model in the Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the Diffusion Unit model in the Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the CSC+MinkUNet model in the Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the StratifiedTransformer model in the Stratified Transformer for 3D Point Cloud Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PointTransformer+CBL model in the Contrastive Boundary Learning for Point Cloud Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the WindowNorm+PointTransformer model in the Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PointMixer model in the PointMixer: MLP-Mixer for Point Cloud Understanding paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PointMetaBase-XXL model in the Meta Architecture for Point Cloud Analysis paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PointNeXt model in the PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the SPoTr model in the Self-positioning Point-based Transformer for Point Cloud Understanding paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PointTransformer model in the Point Transformer paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the LCPFormer model in the LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the GeomGCNN model in the Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the Superpoint Transformer model in the Efficient 3D Semantic Segmentation with Superpoint Transformer paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the RepSurf-U model in the Surface Representation for Point Clouds paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the CGA-Net model in the CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the MKConv model in the MKConv: Multidimensional Feature Representation for Point Cloud Analysis paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the PatchFormer model in the PatchFormer: An Efficient Point Transformer with Patch Attention paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the FusionNet model in the Deep FusionNet for Point Cloud Semantic Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the KPConv model in the KPConv: Flexible and Deformable Convolution for Point Clouds paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the ASSANet model in the ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the BAAF-Net model in the Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the MinkowskiNet model in the 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the VMVF model in the Virtual Multi-view Fusion for 3D Semantic Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the SCF-Net model in the SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the MuG-Net model in the MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the HPEIN model in the Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the SSP+SPG model in the Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the DPC model in the Dilated Point Convolutions: On the Receptive Field Size of Point Convolutions on 3D Point Clouds paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
What metrics were used to measure the SPG model in the Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs paper on the S3DIS Area5 dataset? | mIoU, mAcc, oAcc, FLOPs, Number of params |
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