prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the ShelfNet model in the ShelfNet for Fast Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
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 PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Large Kernel Matters model in the Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the TripleNet model in the Triply Supervised Decoder Networks for Joint Detection and Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the SANet 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 TuSimple model in the Understanding Convolution for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the EncNet (ResNet-101) 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 DFN (ResNet-101) 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 Deep Layer Cascade (LC) model in the Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Light-Weight-RefineNet-152 model in the Light-Weight RefineNet for Real-Time Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the DANet (ResNet-101) model in the Dual Attention Network for Scene Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the PSPNet (ResNet-101) 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 Light-Weight-RefineNet-101 model in the Light-Weight RefineNet for Real-Time Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Light-Weight-RefineNet-50 model in the Light-Weight RefineNet for Real-Time Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the CentraleSupelec Deep G-CRF model in the Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the EdgeNeXt model in the EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
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 test dataset? | Mean IoU, FLOPS, Params |
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 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Light-Weight-RefineNet-MobileNet-v2 model in the Light-Weight RefineNet for Real-Time Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Deeplab-v2 with Lovasz-Softmax loss model in the The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Deeplab-v2 + Lovász-Softmax model in the The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the CRF-RNN model in the Conditional Random Fields as Recurrent Neural Networks paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
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 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the DeepLab-MSc-CRF-LargeFOV (VGG-16) model in the Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the ParseNet model in the ParseNet: Looking Wider to See Better paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Dilated FCN-2s VGG19 model in the Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the ESPNetv2 model in the ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the Dilated Convolutions model in the Multi-Scale Context Aggregation by Dilated Convolutions paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the DiCENet model in the DiCENet: Dimension-wise Convolutions for Efficient Networks paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
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 test dataset? | Mean IoU, FLOPS, Params |
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 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the BoxSup model in the BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
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 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the ESPNet model in the ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the FCN (VGG-16) model in the Fully Convolutional Networks for Semantic Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
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 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the CK model in the Simultaneous Detection and Segmentation paper on the PASCAL VOC 2012 test dataset? | Mean IoU, FLOPS, Params |
What metrics were used to measure the MMUDA model in the Towards Robust Semantic Segmentation of Accident Scenes via Multi-Source Mixed Sampling and Meta-Learning paper on the DADA-seg dataset? | mIoU |
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 DADA-seg dataset? | mIoU |
What metrics were used to measure the EDCNet model in the Exploring Event-driven Dynamic Context for Accident Scene Segmentation paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the SETR (PUP, Transformer-Large) model in the Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the SETR (MLA, Transformer-Large) model in the Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers paper on the DADA-seg 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 DADA-seg dataset? | mIoU |
What metrics were used to measure the BDL model in the Bidirectional Learning for Domain Adaptation of Semantic Segmentation paper on the DADA-seg 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 DADA-seg dataset? | mIoU |
What metrics were used to measure the HRNet (ACDC) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the SegFormer (MiT-B3) model in the SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers paper on the DADA-seg 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 DADA-seg dataset? | mIoU |
What metrics were used to measure the DeepLabV3+ (ACDC) model in the Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the Fast-SCNN model in the Fast-SCNN: Fast Semantic Segmentation Network paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the Lawin Transformer model in the Lawin Transformer: Improving Semantic Segmentation Transformer with Multi-Scale Representations via Large Window Attention paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the FDA model in the FDA: Fourier Domain Adaptation for Semantic Segmentation paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the ResNet-101 model in the Deep Residual Learning for Image Recognition paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the DANet model in the Dual Attention Network for Scene Segmentation paper on the DADA-seg 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 DADA-seg dataset? | mIoU |
What metrics were used to measure the SwiftNet (ResNet-18) model in the In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the PSPNet (ResNet-101) model in the Pyramid Scene Parsing Network paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the ResNeSt (ResNeSt-101) model in the ResNeSt: Split-Attention Networks paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the DNL (ResNet-101) model in the Disentangled Non-Local Neural Networks paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the Semantic FPN (ResNet-101) model in the Panoptic Feature Pyramid Networks paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the ResNet-50 model in the Deep Residual Learning for Image Recognition paper on the DADA-seg dataset? | mIoU |
What metrics were used to measure the MobileNetV3 (MobileNetV3small) model in the Searching for MobileNetV3 paper on the DADA-seg 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 DADA-seg dataset? | mIoU |
What metrics were used to measure the MobileNetV2 model in the MobileNetV2: Inverted Residuals and Linear Bottlenecks paper on the DADA-seg 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 DADA-seg dataset? | mIoU |
What metrics were used to measure the SkyScapesNet-Lane model in the SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes paper on the SkyScapes-Lane 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-Lane dataset? | Mean IoU |
What metrics were used to measure the InternImage-H model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the HS3-Fuse model in the HS3: Learning with Proper Task Complexity in Hierarchically Supervised Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the InverseForm model in the InverseForm: A Loss Function for Structured Boundary-Aware Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the ViT-Adapter-L (Mask2Former, BEiT pretrain) model in the Vision Transformer Adapter for Dense Predictions paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the HRNetV2 + OCR + model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the EfficientPS model in the EfficientPS: Efficient Panoptic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
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 test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the HRNetV2 + OCR (w/ ASP) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the DCNAS(coarse + Mapillary) model in the DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the Euclidean Frank-Wolfe CRFs (backbone: DeepLabv3+)(coarse) model in the Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the GALDNet(+Mapillary)++ model in the Global Aggregation then Local Distribution in Fully Convolutional Networks paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the ResNeSt200 (Mapillary) model in the ResNeSt: Split-Attention Networks paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the HANet (Height-driven Attention Networks by LGE A&B)(coarse) model in the Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the kMaX-DeepLab (ConvNeXt-L, fine only) model in the kMaX-DeepLab: k-means Mask Transformer paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
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 test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the OCR (HRNetV2-W48, coarse) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the MRFM(coarse) model in the Multi Receptive Field Network for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the DNL (coarse) model in the Disentangled Non-Local Neural Networks paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the DRAN(ResNet-101) WITH ONLY FINE ANNOTATED DATA model in the Scene Segmentation with Dual Relation-aware Attention Network paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the Gated-SCNN model in the Gated-SCNN: Gated Shape CNNs for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the Dense Prediction Cell model in the Searching for Efficient Multi-Scale Architectures for Dense Image Prediction paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the CAA (ResNet-101) model in the Channelized Axial Attention for Semantic Segmentation -- Considering Channel Relation within Spatial Attention for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the OCR (ResNet-101, coarse) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the DDRNet-39 1.5x model in the Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the SSMA model in the Self-Supervised Model Adaptation for Multimodal Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the Gated Fully Fusion model in the GFF: Gated Fully Fusion for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
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 test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the DGCNet (ResNet-101) model in the Dual Graph Convolutional Network for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the SPNet (ResNet-101) model in the Strip Pooling: Rethinking Spatial Pooling for Scene Parsing paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the OCR (ResNet-101) model in the Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the OCNet model in the OCNet: Object Context Network for Scene Parsing paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the SETR-PUP++ model in the Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
What metrics were used to measure the HRNet (HRNetV2-W48) model in the High-Resolution Representations for Labeling Pixels and Regions paper on the Cityscapes test dataset? | Mean IoU (class), Category mIoU, Time (ms) |
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