prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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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 S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the MuGNet model in the MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the PointASNL model in the PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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 dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the FKAConv model in the FKAConv: Feature-Kernel Alignment for Point Cloud Convolution paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the ConvPoint model in the ConvPoint: Continuous Convolutions for Point Cloud Processing paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the JSENet model in the JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D 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 CT2 model in the Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
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 S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the PointWeb model in the PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the PointCNN model in the A-CNN: Annularly Convolutional Neural Networks 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 PointCNN 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 MinkowskiNet model in the 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the DSPoint model in the DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the A-CNN model in the A-CNN: Annularly Convolutional Neural Networks 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 SPG model in the Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the SPGraph model in the A-CNN: Annularly Convolutional Neural Networks 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 SPGraph 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 JSNet model in the JSNet: Joint Instance and Semantic Segmentation of 3D 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 DeepGCN model in the DeepGCNs: Making GCNs Go as Deep as CNNs paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the ASIS model in the Associatively Segmenting Instances and Semantics in 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 RSNet model in the Recurrent Slice Networks for 3D Segmentation of 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 3P-RNN model in the A-CNN: Annularly Convolutional Neural Networks 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 Point-PlaneNet model in the Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the SMS model in the Self-supervised Point Cloud Representation Learning via Separating Mixed Shapes paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the PointNet model in the A-CNN: Annularly Convolutional Neural Networks 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 PointNet 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 PointNet model in the PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation paper on the S3DIS dataset? | Mean IoU, mAcc, oAcc, FLOPs, Number of params, mIoU, Params (M) |
What metrics were used to measure the MMSFormer model in the Multimodal Transformer for Material Segmentation paper on the MCubeS dataset? | mIoU |
What metrics were used to measure the CMNeXt (RGB-A-D-N) model in the Delivering Arbitrary-Modal Semantic Segmentation paper on the MCubeS dataset? | mIoU |
What metrics were used to measure the MCubeSNet (RGB-A-D-N) model in the Multimodal Material Segmentation paper on the MCubeS dataset? | mIoU |
What metrics were used to measure the DDF model in the Decoupled Dynamic Filter Networks paper on the MCubeS dataset? | mIoU |
What metrics were used to measure the DRConv model in the Dynamic Region-Aware Convolution paper on the MCubeS dataset? | mIoU |
What metrics were used to measure the SPFNet34M model in the S$^2$-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation paper on the Cityscapes dataset? | mIoU |
What metrics were used to measure the MFSNet model in the MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation paper on the PH2 dataset? | Average Dice, Average IOU |
What metrics were used to measure the KNet (Swin-T) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the SegFormer (MiT-B2) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the DeepLabv3 (ResNet-101) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the PointRend model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the STDC2 model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the DeepLabv3+ (ResNet-101) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the FCN (ResNet-101) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the STDC1 model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the WaSR (ResNet-101) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the FCN (ResNet-50) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the Segmenter (ViT-B) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the BiSeNetv2 model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the WODIS (ResNet-101) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the IntCatchAI model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the BiSeNetv1 (ResNet-50) model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the UNet model in the LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark paper on the LaRS dataset? | F1, μ, mIoU |
What metrics were used to measure the MoCo V2 Surg SSL - DeepLabv3+ head model in the Dissecting Self-Supervised Learning Methods for Surgical Computer Vision paper on the Endoscapes dataset? | Mean F1 |
What metrics were used to measure the TCNN model in the Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation paper on the Endoscapes dataset? | Mean F1 |
What metrics were used to measure the Bimodal SegNet model in the Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping paper on the Event-based Segmentation Dataset 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 Event-based Segmentation Dataset dataset? | mIoU |
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 Event-based Segmentation Dataset dataset? | mIoU |
What metrics were used to measure the DeepLab model in the DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs paper on the Event-based Segmentation Dataset dataset? | mIoU |
What metrics were used to measure the U-Net model in the U-Net: Convolutional Networks for Biomedical Image Segmentation paper on the Event-based Segmentation Dataset dataset? | mIoU |
What metrics were used to measure the FCN model in the Fully Convolutional Networks for Semantic Segmentation paper on the Event-based Segmentation Dataset dataset? | mIoU |
What metrics were used to measure the UNet model in the U-Net: Convolutional Networks for Biomedical Image Segmentation paper on the Kvasir-Instrument dataset? | DSC, mIoU |
What metrics were used to measure the DoubleUNet model in the DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation paper on the Kvasir-Instrument dataset? | DSC, mIoU |
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 EventScape dataset? | mIoU |
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 EventScape dataset? | mIoU |
What metrics were used to measure the SegFormer-B4 model in the SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers paper on the EventScape dataset? | mIoU |
What metrics were used to measure the SegFormer-B2 model in the SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers paper on the EventScape dataset? | mIoU |
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 EventScape 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 EventScape dataset? | mIoU |
What metrics were used to measure the Trans4Trans model in the Trans4Trans: Efficient Transformer for Transparent Object Segmentation to Help Visually Impaired People Navigate in the Real World paper on the EventScape dataset? | mIoU |
What metrics were used to measure the CGNet model in the CGNet: A Light-weight Context Guided Network for Semantic Segmentation paper on the EventScape dataset? | mIoU |
What metrics were used to measure the Fast-SCNN model in the Fast-SCNN: Fast Semantic Segmentation Network paper on the EventScape dataset? | mIoU |
What metrics were used to measure the ISSAFE model in the ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data paper on the EventScape dataset? | mIoU |
What metrics were used to measure the RFNet model in the Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images paper on the EventScape dataset? | mIoU |
What metrics were used to measure the SwiftNet model in the In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images paper on the EventScape 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 SELMA 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 SELMA dataset? | mIoU |
What metrics were used to measure the DeepLabV3 model in the Rethinking Atrous Convolution for Semantic Image Segmentation paper on the SELMA dataset? | mIoU |
What metrics were used to measure the DeepLabV2 model in the DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs paper on the SELMA dataset? | mIoU |
What metrics were used to measure the PSPNet model in the Pyramid Scene Parsing Network paper on the SELMA dataset? | mIoU |
What metrics were used to measure the FCN model in the Fully Convolutional Networks for Semantic Segmentation paper on the SELMA dataset? | mIoU |
What metrics were used to measure the UNet model in the U-Net: Convolutional Networks for Biomedical Image Segmentation paper on the SELMA dataset? | mIoU |
What metrics were used to measure the uNetXST model in the A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View paper on the Cam2BEV dataset? | Mean IoU |
What metrics were used to measure the SegFormer-B5 (Single Scale) model in the SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers paper on the COCO-Stuff full dataset? | Mean IoU (class) |
What metrics were used to measure the TaskPrompter model in the Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation paper on the Cityscapes 3D dataset? | mIoU |
What metrics were used to measure the Cleargrasp model in the ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation paper on the Cleargrasp (Novel) dataset? | Mean IoU, Accuracy |
What metrics were used to measure the SuperCaustics-R model in the SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications paper on the Cleargrasp (Novel) dataset? | Mean IoU, Accuracy |
What metrics were used to measure the EfficientNet-L2+NAS-FPN (single scale test, with self-training) model in the Rethinking Pre-training and Self-training paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the TADP model in the Text-image Alignment for Diffusion-based Perception paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the Eff-B7 NAS-FPN (Copy-Paste pre-training, single-scale)) model in the Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the ExFuse (ResNeXt-131) model in the ExFuse: Enhancing Feature Fusion for Semantic Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the SpineNet-S143 (single-scale test) model in the Dilated SpineNet for Semantic Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the DeepLabv3-JFT model in the Rethinking Atrous Convolution for Semantic Image Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
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 PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the ResNet-GCN model in the Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the HyperSeg-L model in the HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the DFN (ResNet-101) model in the Learning a Discriminative Feature Network for Semantic Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the WASPnet-CRF (ours) model in the Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the Deeplab v3+ (Res2Net-101) model in the Res2Net: A New Multi-scale Backbone Architecture paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the FastDenseNas-arch0 model in the Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the ReLICv2 model in the Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the DeepLab-CRF (ResNet-101) model in the DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
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