prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Sequential Ensemble (MiT-B5 + HRNet) model in the Sequential Ensembling for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the OneFormer (ConvNeXt-XL, multi-scale) model in the OneFormer: One Transformer to Rule Universal Image Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the DiNAT-L (Mask2Former) model in the Dilated Neighborhood Attention Transformer paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the OneFormer (Swin-L, multi-scale) model in the OneFormer: One Transformer to Rule Universal Image Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the VOLO-D4 (MS, ImageNet1k pretrain) model in the VOLO: Vision Outlooker for Visual Recognition paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Mask2Former (Swin-L) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SegFormer (MiT-B5, Mapillary) model in the SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the DDP (ConvNeXt-L, step-3) model in the DDP: Diffusion Model for Dense Visual Prediction paper on the Cityscapes val dataset? | mIoU, FPS |
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 Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the PatchDiverse + Swin-L (multi-scale test, upernet, ImageNet22k pretrain) model in the Vision Transformers with Patch Diversification paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SynBoost model in the Pixel-wise Anomaly Detection in Complex Driving Scenes paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the HRNetV2+OCR+CBL(ImageNet pretrained) model in the Conditional Boundary Loss for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the EfficientViT-B3 (r1184x2368) model in the EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the HRViT-b3 (SegFormer, SS) model in the Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SpineNet-S143+ (single-scale test) model in the Dilated SpineNet for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the HRViT-b2 (SegFormer, SS) model in the Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the FAN-L-Hybrid+STL model in the Fully Attentional Networks with Self-emerging Token Labeling paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the ResNeSt-200 model in the ResNeSt: Split-Attention Networks paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the WaveMix model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the Cityscapes val dataset? | mIoU, FPS |
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 Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the WaveMix-256/16 (Level-4) model in the WaveMix: A Resource-efficient Neural Network for Image Analysis paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the FAN-L-Hybrid model in the Understanding The Robustness in Vision Transformers paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SETR-PUP (80k, MS) model in the Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the EANet model in the Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the HRViT-b1 (SegFormer, SS) model in the Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
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 Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Trans4Trans model in the Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Panoptic-DeepLab model in the Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the HRNetV2 (HRNetV2-W48) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Trans4PASS (Small) model in the Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the OCR (ResNet-101-FCN) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the RepVGG-B2 model in the RepVGG: Making VGG-style ConvNets Great Again paper on the Cityscapes val dataset? | mIoU, FPS |
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 Cityscapes val dataset? | mIoU, FPS |
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 Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SML model in the Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Multiscale DEQ (MDEQ-XL) model in the Multiscale Deep Equilibrium Models paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the HRNetV2 (HRNetV2-W40) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the PSPNet (Dilated-ResNet-101) model in the Pyramid Scene Parsing Network paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the DeepLabv3+ (Dilated-Xception-71) model in the Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Trans4PASS (Tiny) model in the Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SemanticFPN P2-P5 + PointRend model in the PointRend: Image Segmentation as Rendering paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the DeepLabv3 (Dilated-ResNet-101) model in the Rethinking Atrous Convolution for Semantic Image Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the StreamDEQ (8 iterations) model in the Streaming Multiscale Deep Equilibrium Models paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Multiscale DEQ (MDEQ-large) model in the Multiscale Deep Equilibrium Models paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the DetCon_B model in the Efficient Visual Pretraining with Contrastive Detection paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the EEEA-Net-C2 (ours) model in the EEEA-Net: An Early Exit Evolutionary Neural Architecture Search paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the WaveMixLite-256/16 model in the WaveMix-Lite: A Resource-efficient Neural Network for Image Analysis paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the RepMLPNet-D256 model in the RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Dilated-ResNet (Dilated-ResNet-101) model in the Deep Residual Learning for Image Recognition paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the UNet++ (ResNet-101) model in the UNet++: A Nested U-Net Architecture for Medical Image Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SqueezeNAS (LAT XLarge) model in the SqueezeNAS: Fast neural architecture search for faster semantic segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
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 Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the GSCNN (ResNet-101) model in the Gated-SCNN: Gated Shape CNNs for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the BYOL model in the Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the WASPnet (ours) model in the Waterfall Atrous Spatial Pooling Architecture for Efficient Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SqueezeNAS (LAT Large) model in the SqueezeNAS: Fast neural architecture search for faster semantic segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the FasterSeg model in the FasterSeg: Searching for Faster Real-time Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the GSCNN (ResNet-50) model in the Gated-SCNN: Gated Shape CNNs for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Aerial-PASS (ResNet-18) model in the Aerial-PASS: Panoramic Annular Scene Segmentation in Drone Videos paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the RFNet (ResNet-18) model in the Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the ERFNet (PyTorch) model in the ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SwaftNet (ResNet-18) model in the DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the StreamDEQ (4 iterations) model in the Streaming Multiscale Deep Equilibrium Models paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Template-Based NAS-arch1 model in the Template-Based Automatic Search of Compact Semantic Segmentation Architectures paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Fast-SCNN + Coarse + ImageNet model in the Fast-SCNN: Fast Semantic Segmentation Network paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the LDFNet model in the Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic Segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the Template-Based NAS-arch0 model in the Template-Based Automatic Search of Compact Semantic Segmentation Architectures paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the SqueezeNAS (LAT Small) model in the SqueezeNAS: Fast neural architecture search for faster semantic segmentation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the ContextNet model in the ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the DiCENet model in the DiCENet: Dimension-wise Convolutions for Efficient Networks paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the DCT-EDANet model in the Exploring Semantic Segmentation on the DCT Representation paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the StreamDEQ (2 iterations) model in the Streaming Multiscale Deep Equilibrium Models paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the StreamDEQ (1 iterations) model in the Streaming Multiscale Deep Equilibrium Models paper on the Cityscapes val dataset? | mIoU, FPS |
What metrics were used to measure the GALDNet model in the Global Aggregation then Local Distribution in Fully Convolutional Networks paper on the PASCAL VOC 2007 dataset? | Mean IoU |
What metrics were used to measure the DeepLabv3 (ImageNet+300M) model in the Revisiting Unreasonable Effectiveness of Data in Deep Learning Era paper on the PASCAL VOC 2007 dataset? | Mean IoU |
What metrics were used to measure the FloodTransformer (Ours) model in the Transformer-based Flood Scene Segmentation for Developing Countries paper on the Mila Simulated Floods dataset? | mIoU |
What metrics were used to measure the NCC Next model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Mean IoU (class) |
What metrics were used to measure the SK model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Mean IoU (class) |
What metrics were used to measure the MediCIS model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Mean IoU (class) |
What metrics were used to measure the Hutom model in the PEg TRAnsfer Workflow recognition challenge report: Does multi-modal data improve recognition? paper on the PETRAW dataset? | Mean IoU (class) |
What metrics were used to measure the PSPNet + CascadePSP model in the CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement paper on the BIG dataset? | mBA, IoU |
What metrics were used to measure the RefineNet + CascadePSP model in the CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement paper on the BIG dataset? | mBA, IoU |
What metrics were used to measure the DeepLabV3+ + CascadePSP model in the CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement paper on the BIG dataset? | mBA, IoU |
What metrics were used to measure the FCN + CascadePSP model in the CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement paper on the BIG dataset? | mBA, IoU |
What metrics were used to measure the Dice loss + IS-Triplet loss model in the Improving Image co-segmentation via Deep Metric Learning paper on the SBCoseg dataset? | Jaccard |
What metrics were used to measure the WaferSegClassNet model in the WaferSegClassNet -- A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects paper on the MixedWM38 dataset? | Dice, Mean IoU |
What metrics were used to measure the DeepLabv3+ (Xception-65-JFT) model in the Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the DeepLabv3+ (Xception-JFT) model in the Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
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 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the CASIA_IVA_SDN model in the Stacked Deconvolutional Network for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Smooth Network with Channel Attention Block model in the Learning a Discriminative Feature Network for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the SANet (pretraining on COCO dataset) model in the Squeeze-and-Attention Networks for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the EncNet model in the Context Encoding for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the HamNet w/o COCO (ResNet-101) model in the Is Attention Better Than Matrix Decomposition? paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
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 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the PSPNet model in the Pyramid Scene Parsing Network paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the ResNet-38 MS COCO model in the Wider or Deeper: Revisiting the ResNet Model for Visual Recognition paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the OCR (HRNetV2-W48) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the OCR (ResNet-101) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Multipath-RefineNet model in the RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
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