prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the LiM3D+SDSC model in the Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation paper on the ScribbleKITTI dataset? | mIoU, mIoU-1% |
What metrics were used to measure the SphereFormer model in the Spherical Transformer for LiDAR-based 3D Recognition paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the RangeFormer model in the Rethinking Range View Representation for LiDAR Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the 2DPASS model in the 2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the PVKD model in the Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the AF2S3Net model in the (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the WaffleIron model in the Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the Cylinder3D model in the Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the SPVNAS model in the Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the JS3C-Net model in the Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the GFNet model in the GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the KPRNet model in the KPRNet: Improving projection-based LiDAR semantic segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the TORNADONet-HiRes model in the TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the NAPL model in the Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the Meta-RangeSeg model in the Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
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 SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the SalsaNext model in the SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the KPConv model in the KPConv: Flexible and Deformable Convolution for Point Clouds paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the PolarNet model in the PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the FPS-Net model in the FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the SqueezeSegV3 model in the SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the 3D-MiniNet model in the 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the MPF model in the Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the MINet model in the Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the RandLA-Net model in the RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the FG-Net model in the FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the LatticeNet model in the LatticeNet: Fast Point Cloud Segmentation Using Permutohedral Lattices paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the RangeNet++ model in the RangeNet++: Fast and Accurate LiDAR Semantic Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the Darknet53 model in the SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the SqueezeSegV2 model in the SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the TangentConv model in the Tangent Convolutions for Dense Prediction in 3D paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the SqueezeSeg model in the SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the PointNet++ model in the PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the SPLATNet model in the SPLATNet: Sparse Lattice Networks for Point Cloud Processing paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the SPGraph model in the Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the PointNet model in the PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
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 SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the PTv2 model in the Point Transformer V2: Grouped Vector Attention and Partition-based Pooling paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the LiM3D model in the Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the LiM3D+SDSC model in the Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation paper on the SemanticKITTI dataset? | test mIoU, val mIoU, mIoU-1% |
What metrics were used to measure the RandLA-Net + ERDA model in the All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation paper on the SensatUrban dataset? | mIoU |
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 SensatUrban dataset? | mIoU |
What metrics were used to measure the BEV-Seg3D-Net model in the Efficient Urban-scale Point Clouds Segmentation with BEV Projection paper on the SensatUrban dataset? | mIoU |
What metrics were used to measure the KPConv model in the KPConv: Flexible and Deformable Convolution for Point Clouds paper on the SensatUrban dataset? | mIoU |
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 SensatUrban dataset? | mIoU |
What metrics were used to measure the SparseConv model in the 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks paper on the SensatUrban dataset? | mIoU |
What metrics were used to measure the SPGraph model in the Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs paper on the SensatUrban dataset? | mIoU |
What metrics were used to measure the TangentConv model in the Tangent Convolutions for Dense Prediction in 3D paper on the SensatUrban dataset? | mIoU |
What metrics were used to measure the CSN model in the Cross-Shape Attention for Part Segmentation of 3D Point Clouds paper on the PartNet dataset? | mIOU |
What metrics were used to measure the MID-Net model in the Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination paper on the PartNet dataset? | mIOU |
What metrics were used to measure the FG-Net model in the FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware Modelling paper on the PartNet dataset? | mIOU |
What metrics were used to measure the closerlook3D model in the A Closer Look at Local Aggregation Operators in Point Cloud Analysis paper on the PartNet dataset? | mIOU |
What metrics were used to measure the DeepGCN model in the DeepGCNs: Making GCNs Go as Deep as CNNs paper on the PartNet dataset? | mIOU |
What metrics were used to measure the PartNet model in the PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding paper on the PartNet dataset? | mIOU |
What metrics were used to measure the PTv2 model in the Point Transformer V2: Grouped Vector Attention and Partition-based Pooling paper on the nuScenes dataset? | mIoU |
What metrics were used to measure the AF2S3Net model in the (AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network paper on the nuScenes dataset? | mIoU |
What metrics were used to measure the 2D–3D + 3 × 3 × 3 model in the Dense cellular segmentation for EM using 2D–3D neural network ensembles paper on the 3D Platelet EM dataset? | Mean IoU (test) |
What metrics were used to measure the KpConv model in the KPConv: Flexible and Deformable Convolution for Point Clouds paper on the STPLS3D dataset? | mIOU |
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 STPLS3D dataset? | mIOU |
What metrics were used to measure the Point transformer model in the Point Transformer paper on the STPLS3D dataset? | mIOU |
What metrics were used to measure the PointNet++ model in the PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space paper on the STPLS3D dataset? | mIOU |
What metrics were used to measure the DeepViewAgg model in the Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation paper on the KITTI-360 dataset? | miou, mIoU Category, miou Val, Model size |
What metrics were used to measure the MinkowskiNet model in the Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation paper on the KITTI-360 dataset? | miou, mIoU Category, miou Val, Model size |
What metrics were used to measure the PointNet++ model in the PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space paper on the KITTI-360 dataset? | miou, mIoU Category, miou Val, Model size |
What metrics were used to measure the PointNet model in the PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation paper on the KITTI-360 dataset? | miou, mIoU Category, miou Val, Model size |
What metrics were used to measure the Superpoint Transformer model in the Efficient 3D Semantic Segmentation with Superpoint Transformer paper on the KITTI-360 dataset? | miou, mIoU Category, miou Val, Model size |
What metrics were used to measure the PVCNN++ (1xC) volumetric model in the Point-Voxel CNN for Efficient 3D Deep Learning paper on the S3DIS dataset? | mAcc, mIoU, Mean IoU |
What metrics were used to measure the Superpoint Transformer model in the Efficient 3D Semantic Segmentation with Superpoint Transformer paper on the S3DIS dataset? | mAcc, mIoU, Mean IoU |
What metrics were used to measure the PVCNN++ model in the Point-Voxel CNN for Efficient 3D Deep Learning paper on the S3DIS dataset? | mAcc, mIoU, Mean IoU |
What metrics were used to measure the KPConv model in the KPConv: Flexible and Deformable Convolution for Point Clouds paper on the DALES dataset? | mIoU, Overall Accuracy, Model size |
What metrics were used to measure the Superpoint Transformer model in the Efficient 3D Semantic Segmentation with Superpoint Transformer paper on the DALES dataset? | mIoU, Overall Accuracy, Model size |
What metrics were used to measure the PointNet++ model in the PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space paper on the DALES dataset? | mIoU, Overall Accuracy, Model size |
What metrics were used to measure the ConvPoint model in the ConvPoint: Continuous Convolutions for Point Cloud Processing paper on the DALES dataset? | mIoU, Overall Accuracy, Model size |
What metrics were used to measure the SPG model in the Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs paper on the DALES dataset? | mIoU, Overall Accuracy, Model size |
What metrics were used to measure the PointCNN model in the PointCNN: Convolution On X-Transformed Points paper on the DALES dataset? | mIoU, Overall Accuracy, Model size |
What metrics were used to measure the ShellNet model in the ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics paper on the DALES dataset? | mIoU, Overall Accuracy, Model size |
What metrics were used to measure the salsanext model in the RELLIS-3D Dataset: Data, Benchmarks and Analysis paper on the RELLIS-3D Dataset dataset? | Mean IoU (class) |
What metrics were used to measure the kpconv model in the RELLIS-3D Dataset: Data, Benchmarks and Analysis paper on the RELLIS-3D Dataset dataset? | Mean IoU (class) |
What metrics were used to measure the CMP (supervised) model in the Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices? paper on the Voxceleb-3D dataset? | Mean ARE, ARE-ER, ARE-FR, ARE-MR, ARE-CR |
What metrics were used to measure the CMP (unsupervised) model in the Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices? paper on the Voxceleb-3D dataset? | Mean ARE, ARE-ER, ARE-FR, ARE-MR, ARE-CR |
What metrics were used to measure the DeepFace model in the DeepFace: Closing the Gap to Human-Level Performance in Face Verification paper on the LFW dataset? | 1-of-100 Accuracy |
What metrics were used to measure the HAT-L model in the Activating More Pixels in Image Super-Resolution Transformer paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the HAT_FIR model in the SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the HAT model in the Activating More Pixels in Image Super-Resolution Transformer paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the SwinFIR model in the SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the SwinIR model in the SwinIR: Image Restoration Using Swin Transformer paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the HBPN model in the Hierarchical Back Projection Network for Image Super-Resolution paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the LTE model in the Local Texture Estimator for Implicit Representation Function paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the SAN model in the Second-Order Attention Network for Single Image Super-Resolution paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the CSNLN model in the Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the DRLN+ model in the Densely Residual Laplacian Super-Resolution paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the DBPN-RES-MR64-3 model in the Deep Back-Projection Networks for Single Image Super-resolution paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the ABPN model in the Image Super-Resolution via Attention based Back Projection Networks paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the SRGAN + Residual-in-Residual Dense Block model in the ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the HAN+ model in the Single Image Super-Resolution via a Holistic Attention Network paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the RFN model in the Progressive Perception-Oriented Network for Single Image Super-Resolution paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the ProSR model in the A Fully Progressive Approach to Single-Image Super-Resolution paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the RCAN model in the Image Super-Resolution Using Very Deep Residual Channel Attention Networks paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the SwinOIR model in the Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
What metrics were used to measure the GMFN model in the Gated Multiple Feedback Network for Image Super-Resolution paper on the Urban100 - 4x upscaling dataset? | PSNR, SSIM, LPIPS, Perceptual Index, DISTS, LR-PSNR |
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