prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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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 ADE20K val dataset? | AP, APL, APM, APS |
What metrics were used to measure the Mask2Former (Swin-L + FAPN) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the ADE20K val dataset? | AP, APL, APM, APS |
What metrics were used to measure the Mask2Former (ResNet50) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the ADE20K val dataset? | AP, APL, APM, APS |
What metrics were used to measure the Mask2Former (ResNet-50) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the ADE20K val dataset? | AP, APL, APM, APS |
What metrics were used to measure the OneFormer
(InternImage-H, emb_dim=256, single-scale) model in the OneFormer: One Transformer to Rule Universal Image Segmentation paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the OpenSeeD( SwinL, single-scale) model in the A Simple Framework for Open-Vocabulary Segmentation and Detection paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the OneFormer (ConvNeXt-L, single-scale, Mapillary-Pretrained) model in the OneFormer: One Transformer to Rule Universal Image Segmentation paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the AFF-Base (single-scale, point-based Mask2Former) model in the AutoFocusFormer: Image Segmentation off the Grid paper on the Cityscapes val dataset? | mask AP, AP50 |
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 Cityscapes val dataset? | mask AP, AP50 |
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 Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the DiNAT-L (single-scale, Mask2Former) model in the Dilated Neighborhood Attention Transformer paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the AFF-Small (single-scale, point-based Mask2Former) model in the AutoFocusFormer: Image Segmentation off the Grid paper on the Cityscapes val dataset? | mask AP, AP50 |
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 Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the Mask2Former (Swin-B) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the Mask2Former (Swin-S) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the PolySnake model in the Recurrent Contour-based Instance Segmentation with Progressive Learning paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the Mask2Former (Swin-T) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the Mask2Former (ResNet-101) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the Mask2Former (ResNet-50) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the GAIS-Net model in the Geometry-Aware Instance Segmentation with Disparity Maps paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the PointRend model in the PointRend: Image Segmentation as Rendering paper on the Cityscapes val dataset? | mask AP, AP50 |
What metrics were used to measure the LeafMask model in the LeafMask: Towards Greater Accuracy on Leaf Segmentation paper on the Leaf Segmentation Challenge dataset? | Dice Scoe |
What metrics were used to measure the PANet++ model in the iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the PANet+ model in the iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the Mask-RCNN+ model in the Mask R-CNN paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the Mask-RCNN model in the Mask R-CNN paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the PANet model in the Path Aggregation Network for Instance Segmentation paper on the iSAID dataset? | Average Precision |
What metrics were used to measure the PE model in the Point Cloud Instance Segmentation using Probabilistic Embeddings paper on the PartNet dataset? | mAP50 |
What metrics were used to measure the EVA model in the EVA: Exploring the Limits of Masked Visual Representation Learning at Scale paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the FD-SwinV2-G model in the Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Mask Frozen-DETR model in the Mask Frozen-DETR: High Quality Instance Segmentation with One GPU paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the BEiT-3 model in the Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MasK DINO (SwinL, multi-scale) model in the Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ViT-Adapter-L (HTC++, BEiTv2, O365, multi-scale) model in the Vision Transformer Adapter for Dense Predictions paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the SwinV2-G (HTC++) model in the Swin Transformer V2: Scaling Up Capacity and Resolution paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Soft Teacher + Swin-L (HTC++, multi-scale) model in the End-to-End Semi-Supervised Object Detection with Soft Teacher paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ViT-Adapter-L (HTC++, BEiTv2 pretrain, multi-scale) model in the Vision Transformer Adapter for Dense Predictions paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Mask DINO (SwinL, single -scale) model in the Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ViT-Adapter-L (HTC++, BEiT pretrain, multi-scale) model in the Vision Transformer Adapter for Dense Predictions paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the CBNetV2 (Dual-Swin-L HTC, multi-scale) model in the CBNet: A Composite Backbone Network Architecture for Object Detection paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the UNINEXT-H model in the Universal Instance Perception as Object Discovery and Retrieval paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the CBNetV2 (Dual-Swin-L HTC, single-scale) model in the CBNet: A Composite Backbone Network Architecture for Object Detection paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Focal-L (HTC++, multi-scale) model in the Focal Self-attention for Local-Global Interactions in Vision Transformers paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Swin-L (HTC++, multi scale) model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
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 test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Swin-L (HTC++, single scale) model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ISTR-SMT (Swin-L, single scale) model in the ISTR: End-to-End Instance Segmentation with Transformers paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the QueryInst (single scale) model in the Instances as Queries paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Cascade Eff-B7 NAS-FPN (1280, self-training Copy Paste, single-scale) model in the Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the dBOT ViT-L (CLIP) model in the Exploring Target Representations for Masked Autoencoders paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MogaNet-XL (Cascade Mask R-CNN) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the DetectoRS (ResNeXt-101-64x4d, multi-scale) model in the DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the dBOT ViT-L model in the Exploring Target Representations for Masked Autoencoders paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the DiffusionInst-SwinL model in the DiffusionInst: Diffusion Model for Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the DiffusionInst-SwinB model in the DiffusionInst: Diffusion Model for Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the DetectoRS (ResNeXt-101-32x4d, multi-scale) model in the DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Cascade Eff-B7 NAS-FPN (1280) model in the Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the SOLQ (Swin-L, single scale) model in the SOLQ: Segmenting Objects by Learning Queries paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the dBOT ViT-B model in the Exploring Target Representations for Masked Autoencoders paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the dBOT ViT-B (CLIP) model in the Exploring Target Representations for Masked Autoencoders paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Mask R-CNN (SpineNet-190, 1536x1536) model in the SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MogaNet-L (Cascade Mask R-CNN) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MogaNet-B (Cascade Mask R-CNN) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Swin-B + Cascade Mask R-CNN (tri-layer modelling) model in the A Tri-Layer Plugin to Improve Occluded Detection paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the GCNet (ResNeXt-101 + DCN + cascade + GC r4) model in the Global Context Networks paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MogaNet-S (Cascade Mask R-CNN) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the gSwin-S model in the gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the iBOT (ViT-B/16) model in the iBOT: Image BERT Pre-Training with Online Tokenizer paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the gSwin-T model in the gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MogaNet-L (Mask R-CNN 1x) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the A2MIM (ViT-B) model in the Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Cascade Mask R-CNN (ResNeXt152, CBNet) model in the CBNet: A Novel Composite Backbone Network Architecture for Object Detection paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MogaNet-B (Mask R-CNN 1x) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ResNeSt101 model in the ResNeSt: Split-Attention Networks paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the gSwin-VT model in the gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the iBOT (ViT-S/16) model in the iBOT: Image BERT Pre-Training with Online Tokenizer paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Mask Transfiner(ResNet101-FPN) model in the Mask Transfiner for High-Quality Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MogaNet-S (Mask R-CNN 1x) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the PANet model in the Path Aggregation Network for Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the CenterMask + VoVNet99 model in the CenterMask : Real-Time Anchor-Free Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the SOLOv2(Res-DCN-101-FPN) model in the SOLOv2: Dynamic and Fast Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the BCNet(ResNeXt-101 + FPN+ FCOS) model in the Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the GCNet (ResNeXt-101 + DCN + cascade + GC r16) model in the GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the DiffusionInst-ResNet101 model in the DiffusionInst: Diffusion Model for Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the BlendMask (ResNet-101 + DCN interval=3) model in the BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the HTC + ResNeXt-101-FPN + DCN model in the Hybrid Task Cascade for Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the HTC + ResNeXt-101-FPN model in the Hybrid Task Cascade for Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the SOLQ (ResNet101, single scale) model in the SOLQ: Segmenting Objects by Learning Queries paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the VoVNetV1-57 model in the An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the K-Net-N256 (ResNet-101) model in the K-Net: Towards Unified Image Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the CenterMask + VoVNetV2-99 (single-scale) model in the CenterMask : Real-Time Anchor-Free Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the SOLO(Res-DCN-101-FPN) model in the SOLO: Segmenting Objects by Locations paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the SOLO (ResNet-DCN-101-FPN) model in the SOLO: Segmenting Objects by Locations paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the D2Det (ResNet-101, single-scale test) model in the D2Det: Towards High Quality Object Detection and Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the K-Net (ResNet-101) model in the K-Net: Towards Unified Image Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ISTR (ResNet101-FPN-3x, single-scale) model in the ISTR: End-to-End Instance Segmentation with Transformers paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the BCNet(ResNet-101-FPN + Faster RCNN) model in the Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the VoVNetV1-39 model in the An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the SOLQ (ResNet50, single scale) model in the SOLQ: Segmenting Objects by Learning Queries paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the CenterMask + X101-32x8d (single-scale) model in the CenterMask : Real-Time Anchor-Free Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
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