prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the FastDenseNas-arch2 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 DetCon 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 FastDenseNas-arch1 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 DeepLabv3 (ImageNet+300M) model in the Revisiting Unreasonable Effectiveness of Data in Deep Learning Era paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
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 PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the DiCENet model in the DiCENet: Dimension-wise Convolutions for Efficient Networks paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the RRM model in the Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the SIW model in the The devil is in the labels: Semantic segmentation from sentences paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the SSDD model in the Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the PSA w/ EADER DeepLab (Xception-65) model in the Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the G2 model in the Exploiting saliency for object segmentation from image level labels paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the PRM model in the Weakly Supervised Instance Segmentation using Class Peak Response paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the SID model in the Simple Does It: Weakly Supervised Instance and Semantic Segmentation paper on the PASCAL VOC 2012 val dataset? | mIoU, Mean IoU |
What metrics were used to measure the PSANet w/ ResNet50 - FMoW self-supervised pre-training w/ MoCo-V2 + Temporal Positives model in the Geography-Aware Self-Supervised Learning paper on the SpaceNet 1 dataset? | Mean IoU |
What metrics were used to measure the PSANet w/ ResNet50 backbone - FMoW self-supervised pre-training w/ MoCo-V2 model in the Geography-Aware Self-Supervised Learning paper on the SpaceNet 1 dataset? | Mean IoU |
What metrics were used to measure the PSANet w/ ResNet50 backbone - FMoW pretrained model in the Geography-Aware Self-Supervised Learning paper on the SpaceNet 1 dataset? | Mean IoU |
What metrics were used to measure the PSANet w/ ResNet50 backbone - ImageNet pretrained model in the Geography-Aware Self-Supervised Learning paper on the SpaceNet 1 dataset? | Mean IoU |
What metrics were used to measure the PSANet w/ ResNet50 backbone model in the Geography-Aware Self-Supervised Learning paper on the SpaceNet 1 dataset? | Mean IoU |
What metrics were used to measure the RBE2E model in the Region-based semantic segmentation with end-to-end training paper on the SIFT-flow dataset? | Mean Accuracy, Pixel Accuracy |
What metrics were used to measure the JCSS model in the Joint Calibration for Semantic Segmentation paper on the SIFT-flow dataset? | Mean Accuracy, Pixel Accuracy |
What metrics were used to measure the JCSS (weakly supervised) model in the Joint Calibration for Semantic Segmentation paper on the SIFT-flow dataset? | Mean Accuracy, Pixel Accuracy |
What metrics were used to measure the SIW model in the The devil is in the labels: Semantic segmentation from sentences paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the RTFormer-Base model in the RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the DeepLabV3Plus + SDCNetAug model in the Improving Semantic Segmentation via Video Propagation and Label Relaxation paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the ETC-Mobile model in the Efficient Semantic Video Segmentation with Per-frame Inference paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the VideoGCRF model in the Deep Spatio-Temporal Random Fields for Efficient Video Segmentation paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the DenseDecoder model in the Dense Decoder Shortcut Connections for Single-Pass Semantic Segmentation paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the BiSeNet model in the BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the FC-DenseNet103 model in the The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the EDANet model in the Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the Dilated Convolutions model in the Multi-Scale Context Aggregation by Dilated Convolutions paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the DFANet A model in the DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the Template-Based NAS-arch0 (480x360 inputs) model in the Template-Based Automatic Search of Compact Semantic Segmentation Architectures paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the LMDNet model in the Efficient Road Lane Marking Detection with Deep Learning paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the Template-Based NAS-arch1 (480x360 inputs) model in the Template-Based Automatic Search of Compact Semantic Segmentation Architectures paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the RTA model in the Efficient Uncertainty Estimation for Semantic Segmentation in Videos paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the DeepLab-MSc-CRF-LargeFOV model in the Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the ReSeg model in the ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation paper on the CamVid dataset? | Mean IoU, Global Accuracy |
What metrics were used to measure the SegNet model in the SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation paper on the CamVid dataset? | Mean IoU, Global Accuracy |
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 2012 dataset? | Mean IoU |
What metrics were used to measure the SIW model in the The devil is in the labels: Semantic segmentation from sentences paper on the PASCAL VOC 2010 test dataset? | Mean IoU |
What metrics were used to measure the CGA-Net model in the CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation paper on the SYNTHIA dataset? | mIoU |
What metrics were used to measure the ACLNet model in the ACLNet: An Attention and Clustering-based Cloud Segmentation Network paper on the SWIMSEG dataset? | Average Precision, Average Recall, F1-Score, MCC, Mean IoU |
What metrics were used to measure the ACLNet model in the ACLNet: An Attention and Clustering-based Cloud Segmentation Network paper on the SWINySEG dataset? | Average Precision, Average Recall, F1-Score, MCC, Mean IoU |
What metrics were used to measure the Baseline - DeepLabv3+ model in the SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data paper on the Pothole Mix dataset? | Test Dice Multiclass, Test mIoU, Validation Dice Multiclass, Validation mIoU |
What metrics were used to measure the PUCP-MAnet model in the SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data paper on the Pothole Mix dataset? | Test Dice Multiclass, Test mIoU, Validation Dice Multiclass, Validation mIoU |
What metrics were used to measure the PUCP-Unet model in the SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data paper on the Pothole Mix dataset? | Test Dice Multiclass, Test mIoU, Validation Dice Multiclass, Validation mIoU |
What metrics were used to measure the PUCP-Unet++ model in the SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data paper on the Pothole Mix dataset? | Test Dice Multiclass, Test mIoU, Validation Dice Multiclass, Validation mIoU |
What metrics were used to measure the HCMUS-SegFormer model in the SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data paper on the Pothole Mix dataset? | Test Dice Multiclass, Test mIoU, Validation Dice Multiclass, Validation mIoU |
What metrics were used to measure the HCMUS-DeepLabv3+ model in the SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data paper on the Pothole Mix dataset? | Test Dice Multiclass, Test mIoU, Validation Dice Multiclass, Validation mIoU |
What metrics were used to measure the HCMUS-CPS-DLU-Net model in the SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data paper on the Pothole Mix dataset? | Test Dice Multiclass, Test mIoU, Validation Dice Multiclass, Validation mIoU |
What metrics were used to measure the CMX (SegFormer-B4) model in the CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers paper on the Stanford2D3D - RGBD dataset? | mIoU, Pixel Accuracy, mAcc |
What metrics were used to measure the CMX (SegFormer-B2) model in the CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers paper on the Stanford2D3D - RGBD dataset? | mIoU, Pixel Accuracy, mAcc |
What metrics were used to measure the ShapeConv-101 model in the ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation paper on the Stanford2D3D - RGBD dataset? | mIoU, Pixel Accuracy, mAcc |
What metrics were used to measure the Linear Fusion (Segformer B2) model in the Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation paper on the Stanford2D3D - RGBD dataset? | mIoU, Pixel Accuracy, mAcc |
What metrics were used to measure the MMAF-Net-152 model in the Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images paper on the Stanford2D3D - RGBD dataset? | mIoU, Pixel Accuracy, mAcc |
What metrics were used to measure the Depth-aware CNN model in the Depth-aware CNN for RGB-D Segmentation paper on the Stanford2D3D - RGBD dataset? | mIoU, Pixel Accuracy, mAcc |
What metrics were used to measure the OneFormer
(InternImage-H, emb_dim=1024, single-scale) model in the OneFormer: One Transformer to Rule Universal Image Segmentation paper on the COCO dataset? | mIoU |
What metrics were used to measure the OneFormer (DiNAT-L, single-scale) model in the OneFormer: One Transformer to Rule Universal Image Segmentation paper on the COCO dataset? | mIoU |
What metrics were used to measure the OneFormer (Swin-L, single-scale) model in the OneFormer: One Transformer to Rule Universal Image Segmentation paper on the COCO dataset? | mIoU |
What metrics were used to measure the Mask2Former (Swin-L, single-scale) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the COCO dataset? | mIoU |
What metrics were used to measure the MaskFormer (Swin-L, single-scale) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the COCO dataset? | 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 COCO dataset? | mIoU |
What metrics were used to measure the HRDA + PiPa model in the PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | Mean IoU |
What metrics were used to measure the MIC model in the MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation paper on the SYNTHIA-to-Cityscapes dataset? | Mean IoU |
What metrics were used to measure the HRDA model in the HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | Mean IoU |
What metrics were used to measure the SePiCo model in the SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | Mean IoU |
What metrics were used to measure the DAFormer + ProCST model in the ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer paper on the SYNTHIA-to-Cityscapes dataset? | Mean IoU |
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 SYNTHIA-to-Cityscapes dataset? | Mean IoU |
What metrics were used to measure the TransDA-B model in the Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation paper on the SYNTHIA-to-Cityscapes dataset? | Mean IoU |
What metrics were used to measure the UVid-Net model in the UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information paper on the ManipalUAVid dataset? | mIoU |
What metrics were used to measure the GA-Nav model in the GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments paper on the RELLIS-3D Dataset dataset? | Mean IoU (class) |
What metrics were used to measure the gscnn 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 hrnet+OCR 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 SegNeXt-L model in the SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation paper on the iSAID dataset? | mIoU |
What metrics were used to measure the SegNeXt-B model in the SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation paper on the iSAID dataset? | mIoU |
What metrics were used to measure the AerialFormer-B model in the AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation paper on the iSAID dataset? | mIoU |
What metrics were used to measure the SegNeXt-S model in the SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation paper on the iSAID dataset? | mIoU |
What metrics were used to measure the AerialFormer-S model in the AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation paper on the iSAID dataset? | mIoU |
What metrics were used to measure the SegNeXt-T model in the SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation paper on the iSAID dataset? | mIoU |
What metrics were used to measure the FarSeg++@MiT-B2 model in the FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery paper on the iSAID dataset? | mIoU |
What metrics were used to measure the FarSeg++@ResNet-50 model in the FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery paper on the iSAID dataset? | mIoU |
What metrics were used to measure the AerialFormer-T model in the AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation paper on the iSAID dataset? | mIoU |
What metrics were used to measure the DeepLabV3 with R-50 model in the Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks paper on the iSAID dataset? | mIoU |
What metrics were used to measure the FarSeg++@Swin-T model in the FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery paper on the iSAID dataset? | mIoU |
What metrics were used to measure the IMP-ViTAEv2-S-UperNet model in the An Empirical Study of Remote Sensing Pretraining paper on the iSAID dataset? | mIoU |
What metrics were used to measure the FactSeg@ResNet-50 model in the FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery paper on the iSAID dataset? | 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 iSAID dataset? | mIoU |
What metrics were used to measure the RSP-ViTAEv2-S-UperNet model in the An Empirical Study of Remote Sensing Pretraining paper on the iSAID dataset? | mIoU |
What metrics were used to measure the RSP-Swin-T-UperNet model in the An Empirical Study of Remote Sensing Pretraining paper on the iSAID dataset? | 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 iSAID dataset? | mIoU |
What metrics were used to measure the FarSeg@ResNet-50 model in the Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery paper on the iSAID dataset? | mIoU |
What metrics were used to measure the RSP-ResNet-50-UperNet model in the An Empirical Study of Remote Sensing Pretraining paper on the iSAID dataset? | mIoU |
What metrics were used to measure the Plugin network model in the Plugin Networks for Inference under Partial Evidence paper on the PASCAL VOC 2011 test dataset? | Mean IoU |
What metrics were used to measure the FCN-VGG16 model in the Fully Convolutional Networks for Semantic Segmentation paper on the PASCAL VOC 2011 test dataset? | Mean IoU |
What metrics were used to measure the FCN-pool4 model in the Fully Convolutional Networks for Semantic Segmentation paper on the PASCAL VOC 2011 test dataset? | Mean IoU |
What metrics were used to measure the Late Fusion model in the Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series paper on the PASTIS-R dataset? | IoU |
What metrics were used to measure the UNETR + SS-CXR model in the SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model paper on the Montgomery County X-ray Set dataset? | F1-score |
What metrics were used to measure the UNETR+ SS-IN model in the SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model paper on the Montgomery County X-ray Set dataset? | F1-score |
What metrics were used to measure the UNETR model in the SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model paper on the Montgomery County X-ray Set dataset? | F1-score |
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