prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the HRNet model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the SynPASS dataset? | mIoU |
What metrics were used to measure the PVT model in the Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions paper on the SynPASS dataset? | mIoU |
What metrics were used to measure the DeepLabv3+ model in the Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation paper on the SynPASS dataset? | mIoU |
What metrics were used to measure the Fast-SCNN model in the Fast-SCNN: Fast Semantic Segmentation Network paper on the SynPASS dataset? | mIoU |
What metrics were used to measure the Trans4PASS+ (multi-scale) model in the Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the Trans4PASS+ (single-scale) model in the Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the Trans4PASS (multi-scale) model in the Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the Trans4PASS (single-scale) model in the Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the DAFormer model in the DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the PCS model in the Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the P2PDA (Cityscapes+WildDash) model in the Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the SIM model in the Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the PoolFormer (MiT-B1) model in the MetaFormer Is Actually What You Need for Vision paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the ECANet model in the Capturing Omni-Range Context for Omnidirectional Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the FAN (MiT-B1) model in the Understanding The Robustness in Vision Transformers paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the SegFormer (MiT-B2) model in the SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the ASMLP (MiT-B1) model in the AS-MLP: An Axial Shifted MLP Architecture for Vision paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the P2PDA (Cityscapes) model in the Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the CycleMLP (MiT-B1) model in the CycleMLP: A MLP-like Architecture for Dense Prediction paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the SegFormer (MiT-B1) model in the SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the DPT (MiT-B1) model in the DPT: Deformable Patch-based Transformer for Visual Recognition paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the SETR (PUP, Transformer-L) model in the Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the SETR (MLA, Transformer-L) model in the Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the Seamless (Mapillary) model in the Seamless Scene Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the DeepLabV3+ (ResNet-101) model in the Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the DNL (ResNet-101) model in the Disentangled Non-Local Neural Networks paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the SwiftNet (Merge3) model in the ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the CRST model in the Confidence Regularized Self-Training paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the CLAN model in the Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the PVT (Tiny, FPN) model in the Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the USSS (Mapillary) model in the Universal Semi-Supervised Semantic Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the PSPNet (ResNet-50) model in the Pyramid Scene Parsing Network paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the Semantic-FPN (ResNet-101) model in the Panoptic Feature Pyramid Networks paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the DANet (ResNet-101) model in the Dual Attention Network for Scene Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the USSS (IDD) model in the Universal Semi-Supervised Semantic Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the FANet (Resnet-34) model in the Real-time Semantic Segmentation with Fast Attention paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the SwiftNet (Cityscapes) model in the In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the Fast-SCNN model in the Fast-SCNN: Fast Semantic Segmentation Network paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the PASS model in the DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the ERFNet model in the ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation paper on the DensePASS dataset? | mIoU |
What metrics were used to measure the CMX model in the CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers paper on the RSMSS dataset? | mIoU |
What metrics were used to measure the SGNet model in the Spatial Information Guided Convolution for Real-Time RGBD Semantic Segmentation paper on the RSMSS dataset? | mIoU |
What metrics were used to measure the ShapeConv model in the ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation paper on the RSMSS dataset? | mIoU |
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 RSMSS dataset? | mIoU |
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 RSMSS dataset? | mIoU |
What metrics were used to measure the SegNet model in the SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation paper on the RSMSS dataset? | mIoU |
What metrics were used to measure the PiCIE model in the PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering paper on the RSMSS dataset? | mIoU |
What metrics were used to measure the DeepCluster model in the Deep Clustering for Unsupervised Learning of Visual Features paper on the RSMSS dataset? | mIoU |
What metrics were used to measure the MaskContrast model in the Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals paper on the RSMSS dataset? | mIoU |
What metrics were used to measure the IIC model in the Invariant Information Clustering for Unsupervised Image Classification and Segmentation paper on the RSMSS dataset? | mIoU |
What metrics were used to measure the ViT-G12X4 model in the A Billion-scale Foundation Model for Remote Sensing Images paper on the LoveDA dataset? | Category mIoU |
What metrics were used to measure the AerialFormer-B model in the AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation paper on the LoveDA dataset? | Category mIoU |
What metrics were used to measure the LSKNet-S model in the Large Selective Kernel Network for Remote Sensing Object Detection paper on the LoveDA dataset? | Category mIoU |
What metrics were used to measure the LSKNet-T model in the Large Selective Kernel Network for Remote Sensing Object Detection paper on the LoveDA dataset? | Category mIoU |
What metrics were used to measure the Hi-ResNet model in the Hi-ResNet: A High-Resolution Remote Sensing Network for Semantic Segmentation paper on the LoveDA dataset? | Category mIoU |
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 LoveDA dataset? | Category mIoU |
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 LoveDA dataset? | Category mIoU |
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 LoveDA dataset? | Category mIoU |
What metrics were used to measure the HRNetw32 model in the LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation paper on the LoveDA dataset? | Category mIoU |
What metrics were used to measure the SegCLIP model in the SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation paper on the PASCAL VOC dataset? | 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 ScanNet dataset? | val mIoU, test mIoU |
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 ScanNet dataset? | val mIoU, test mIoU |
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 ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the DeLA model in the Decoupled Local Aggregation for Point Cloud Learning paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the OctFormer model in the OctFormer: Octree-based Transformers for 3D Point Clouds paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the MSC + SparseUNet model in the Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the PointHR model in the PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation paper on the ScanNet dataset? | val mIoU, test 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 ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the EQ-Net model in the A Unified Query-based Paradigm for Point Cloud Understanding paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the StratifiedFormer model in the Stratified Transformer for 3D Point Cloud Segmentation paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the O-CNN model in the O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the BPNet model in the Bidirectional Projection Network for Cross Dimension Scene Understanding paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the Mix3D model in the Mix3D: Out-of-Context Data Augmentation for 3D Scenes paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the MinkowskiNet model in the 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the SparseConvNet model in the 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the KpConv model in the KPConv: Flexible and Deformable Convolution for Point Clouds paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the PointConv model in the PointConv: Deep Convolutional Networks on 3D Point Clouds paper on the ScanNet dataset? | val mIoU, test 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 ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the VMVF model in the Virtual Multi-view Fusion for 3D Semantic Segmentation paper on the ScanNet dataset? | val mIoU, test 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 ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the RPNet model in the Learning Inner-Group Relations on Point Clouds paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the SAFNet model in the Similarity-Aware Fusion Network for 3D Semantic Segmentation paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the TextureNet model in the TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the PanopticFusion model in the PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the 3DMV model in the 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the PointCNN model in the PointCNN: Convolution On X-Transformed Points paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the FCPN model in the Fully-Convolutional Point Networks for Large-Scale Point Clouds paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the SurfaceConvPF model in the PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the Tangent Convolutions model in the Tangent Convolutions for Dense Prediction in 3D paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the SPLAT Net model in the SPLATNet: Sparse Lattice Networks for Point Cloud Processing paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the ScanNet model in the ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes paper on the ScanNet dataset? | val mIoU, test mIoU |
What metrics were used to measure the U-Net model in the DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis paper on the DIVA-HisDB dataset? | Mean IoU (class) |
What metrics were used to measure the DLDL-8s+CRF model in the Deep Label Distribution Learning with Label Ambiguity paper on the PASCAL VOC 2011 dataset? | Mean IoU |
What metrics were used to measure the AerialFormer-B model in the AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the ViT-G12X4 model in the A Billion-scale Foundation Model for Remote Sensing Images paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the FT-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 DC-Swin model in the A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the LSKNet-S model in the Large Selective Kernel Network for Remote Sensing Object Detection paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the EfficientUNets and Transformers model in the Semantic Labeling of High Resolution Images Using EfficientUNets and Transformers paper on the ISPRS Potsdam dataset? | Overall Accuracy, Mean F1, Mean IoU |
What metrics were used to measure the IMP-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 |
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