prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the K-Net model in the K-Net: Towards Unified Image Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the SenFormer (Swin-L) model in the Efficient Self-Ensemble for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the DeiT-B model in the DeiT III: Revenge of the ViT paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the MixMIM-L model in the MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Seg-L-Mask/16 (MS, ViT-L) model in the Segmenter: Transformer for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Swin-L (UperNet, ImageNet-22k pretrain) model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the SeMask (SeMask Swin-L FPN) model in the SeMask: Semantically Masked Transformers for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the PatchConvNet-L120 (UperNet) model in the Augmenting Convolutional networks with attention-based aggregation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the PatchConvNet-B120 (UperNet) model in the Augmenting Convolutional networks with attention-based aggregation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the SegFormer-B5(MS, 87M #Params, ImageNet-1K pretrain) model in the SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Light-Ham (VAN-Huge, 61M, IN-1k, MS) model in the Is Attention Better Than Matrix Decomposition? paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the CrossFormer (ImageNet1k-pretrain, UPerNet, multi-scale test) model in the CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the PatchConvNet-B60 (UperNet) model in the Augmenting Convolutional networks with attention-based aggregation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Light-Ham (VAN-Large, 46M, IN-1k, MS) model in the Is Attention Better Than Matrix Decomposition? paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the UperNet Shuffle-B model in the Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the ELSA-Swin-S model in the ELSA: Enhanced Local Self-Attention for Vision Transformer paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the MixMIM-B model in the MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Twins-SVT-L (UperNet, ImageNet-1k pretrain) model in the Twins: Revisiting the Design of Spatial Attention in Vision Transformers paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Seg-B-Mask/16 (MS, ViT-B) model in the Segmenter: Transformer for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Swin-B (UperNet, ImageNet-1k pretrain) model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the gSwin-S model in the gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Seg-B/8 (MS, ViT-B) model in the Segmenter: Transformer for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the UperNet Shuffle-S model in the Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Light-Ham (VAN-Base, 27M, IN-1k, MS) model in the Is Attention Better Than Matrix Decomposition? paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the PatchConvNet-S60 (UperNet) model in the Augmenting Convolutional networks with attention-based aggregation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the DPT-Hybrid model in the Vision Transformers for Dense Prediction paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the DaViT-S (UperNet) model in the DaViT: Dual Attention Vision Transformers paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the ResNeSt-200 model in the ResNeSt: Split-Attention Networks paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
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 ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the gSwin-T model in the gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the ResNeSt-269 model in the ResNeSt: Split-Attention Networks paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the UperNet Shuffle-T model in the Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the DCNAS model in the DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the ResNeSt-101 model in the ResNeSt: Split-Attention Networks paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Seg-S-Mask/16 (MS, ViT-S) model in the paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the DaViT-B (UperNet) model in the DaViT: Dual Attention Vision Transformers paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the CPN(ResNet-101) model in the Context Prior for Scene Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the MultiMAE (ViT-B) model in the MultiMAE: Multi-modal Multi-task Masked Autoencoders paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the PyConvSegNet-152 model in the Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the DNL model in the Disentangled Non-Local Neural Networks paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the CTNet model in the CTNet: Context-based Tandem Network for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the ACNet (ResNet-101) model in the Adaptive Context Network for Scene Parsing paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the ACNet(ResNet-101) model in the Adaptive Context Network for Scene Parsing paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the OCR (HRNetV2-W48) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the EANet (ResNet-101) model in the Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the OCR (ResNet-101) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Asymmetric ALNN model in the Asymmetric Non-local Neural Networks for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the gSwin-VT model in the gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the LaU-regression-loss model in the Location-aware Upsampling for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the EncNet (ResNet-101) model in the Context Encoding for Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the SGR (ResNet-101) model in the Symbolic Graph Reasoning Meets Convolutions paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the Auto-DeepLab-L model in the Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the PSANet (ResNet-101) model in the PSANet: Point-wise Spatial Attention Network for Scene Parsing paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the DSSPN (ResNet-101) model in the Dynamic-structured Semantic Propagation Network paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the PSPNet (ResNet-152) model in the Pyramid Scene Parsing Network paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the PSPNet (ResNet-101) model in the Pyramid Scene Parsing Network paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the HRNetV2 (HRNetV2-W48) model in the High-Resolution Representations for Labeling Pixels and Regions paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the UperNet (ResNet-101) model in the Unified Perceptual Parsing for Scene Understanding paper on the ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the RefineNet (ResNet-152) model in the RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation paper on the ADE20K val dataset? | mIoU, Pixel 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 ADE20K val dataset? | mIoU, Pixel Accuracy |
What metrics were used to measure the LSKNet-S model in the Large Selective Kernel Network for Remote Sensing Object Detection paper on the UAVid dataset? | Mean IoU |
What metrics were used to measure the LSKNet-T model in the Large Selective Kernel Network for Remote Sensing Object Detection paper on the UAVid dataset? | 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 UAVid dataset? | 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 UAVid dataset? | 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 UAVid dataset? | Mean IoU |
What metrics were used to measure the DLv3+ (Xception65) model in the Aerial Imagery Pixel-level Segmentation paper on the DroneDeploy dataset? | Mean IoU (test), Mean IoU (val) |
What metrics were used to measure the SkyScapesNet-Dense model in the SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes paper on the SkyScapes-Dense dataset? | Mean IoU |
What metrics were used to measure the DeepLabv3+ model in the Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation paper on the SkyScapes-Dense dataset? | Mean IoU |
What metrics were used to measure the FCN8s (ResNet-50) model in the Fully Convolutional Networks for Semantic Segmentation paper on the SkyScapes-Dense dataset? | Mean IoU |
What metrics were used to measure the BiSeNet (ResNet-50) model in the BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation paper on the SkyScapes-Dense dataset? | Mean IoU |
What metrics were used to measure the DenseASPP (ResNet-101) model in the DenseASPP for Semantic Segmentation in Street Scenes paper on the SkyScapes-Dense dataset? | Mean IoU |
What metrics were used to measure the SegNet model in the SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation paper on the SkyScapes-Dense dataset? | Mean IoU |
What metrics were used to measure the U-Net model in the U-Net: Convolutional Networks for Biomedical Image Segmentation paper on the SkyScapes-Dense dataset? | Mean IoU |
What metrics were used to measure the VOLO-D5 model in the VOLO: Vision Outlooker for Visual Recognition paper on the Graz-02 dataset? | Pixel Accuracy |
What metrics were used to measure the FloodTransformer (Ours) model in the Transformer-based Flood Scene Segmentation for Developing Countries paper on the Graz-02 dataset? | Pixel Accuracy |
What metrics were used to measure the TFNet model in the TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation paper on the SemanticPOSS dataset? | Mean IoU |
What metrics were used to measure the Cloud-Net+ model in the Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation paper on the 38-Cloud dataset? | Jaccard (Mean) |
What metrics were used to measure the Cloud-Net model in the Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery paper on the 38-Cloud dataset? | Jaccard (Mean) |
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 dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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 dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the PointVector-XL model in the PointVector: A Vector Representation In Point Cloud Analysis paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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 dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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 dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the EQ-Net model in the A Unified Query-based Paradigm for Point Cloud Understanding paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the PointMetaBase-XXL model in the Meta Architecture for Point Cloud Analysis paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the Superpoint Transformer model in the Efficient 3D Semantic Segmentation with Superpoint Transformer paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the PointNeXt-XL model in the PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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 S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the RepSurf-U model in the Surface Representation for Point Clouds paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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 dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the PointNeXt-L model in the PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the PointTransformer model in the Point Transformer paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the CBL model in the Contrastive Boundary Learning for Point Cloud Segmentation paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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 dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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 dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the Feature Geometric Net (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 S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the RPNet model in the Learning Inner-Group Relations on Point Clouds paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the KPConv model in the KPConv: Flexible and Deformable Convolution for Point Clouds paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the KPConv model in the Point Transformer paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the FastPointTrans. (small) model in the Fast Point Transformer paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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