prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the BCNet(ResNet-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 MS R-CNN + ResNet-101 DCN + FPN model in the Mask Scoring R-CNN paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Cascade R-CNN (ResNet-101-FPN, map-guided) model in the InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the CPMask model in the Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MogaNet-T (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 PolarMask++ (ResNeXt-101-DCN) model in the PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and Beyond paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ISDA (ours) model in the ISDA: Position-Aware Instance Segmentation with Deformable Attention paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ISTR (ResNet50-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 CenterMask + ResNet-101-FPN 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 SipMask (ResNet-101, single-scale test) model in the SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MaskLab+ (ResNet-101, JFT) model in the MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the EmbedMask (ResNet-101-FPN) model in the EmbedMask: Embedding Coupling for One-stage Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the EmbedMask(R-101-FPN) model in the EmbedMask: Embedding Coupling for One-stage Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MogaNet-XT 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 TensorMask (ResNet-101-FPN) model in the TensorMask: A Foundation for Dense Object Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Mask R-CNN (ResNeXt-101-FPN) model in the Mask R-CNN paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the DiffusionInst-ResNet50 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 VirTex Mask R-CNN (ResNet-50-FPN) model in the VirTex: Learning Visual Representations from Textual Annotations paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the RDSNet (data aug) model in the RDSNet: A New Deep Architecture for Reciprocal 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 MogaNet-T 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 (ResNet-50 2x) 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 E2EC DLA-34 model in the E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the FCIS+++ +OHEM model in the Fully Convolutional Instance-aware Semantic Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the Mask R-CNN (Bottleneck-injected ResNet-50, FPN) model in the torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the PolarMask (ResNeXt-101-FPN) model in the PolarMask: Single Shot Instance Segmentation with Polar Representation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the PolarMask (ResNet-101-FPN) model in the PolarMask: Single Shot Instance Segmentation with Polar Representation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the YOLACT (ResNet-50-FPN) model in the YOLACT: Real-time Instance Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the FCIS +OHEM model in the Fully Convolutional Instance-aware Semantic Segmentation paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the MultiPath Network model in the A MultiPath Network 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-S (256x192) 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 InternImage-H model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ResNeSt-200 (multi-scale) 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 CenterMask + VoVNetV2-99 (multi-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 CenterMask + VoVNetV2-57 (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 MNC model in the Instance-aware Semantic Segmentation via Multi-task Network Cascades paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
What metrics were used to measure the ISDA (ResNet-50) model in the ISDA: Position-Aware Instance Segmentation with Deformable Attention paper on the COCO test-dev dataset? | mask AP, AP50, AP75, APS, APM, APL |
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 COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the ViTDet, ViT-H Cascade (multiscale) model in the Exploring Plain Vision Transformer Backbones for Object Detection paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask DINO (SwinL) model in the Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the ViTDet, ViT-H Cascade model in the Exploring Plain Vision Transformer Backbones for Object Detection paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Soft Teacher + Swin-L(HTC++, single-scale) model in the End-to-End Semi-Supervised Object Detection with Soft Teacher paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Frozen Backbone, SwinV2-G-ext22K (HTC) model in the Could Giant Pretrained Image Models Extract Universal Representations? paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the DiNAT-L (single-scale, Mask2Former) model in the Dilated Neighborhood Attention Transformer paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MViTv2-L (Cascade Mask R-CNN, multi-scale, IN21k pre-train) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MOAT-3 (IN-22K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask2Former (Swin-L) model in the Masked-attention Mask Transformer for Universal Image Segmentation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MOAT-2 (IN-22K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MOAT-1 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the QueryInst (single scale) model in the Instances as Queries paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the InternImage-XL model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the CenterNet2 (Swin-L w/ X-Paste + Copy-Paste) model in the X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Heira-L model in the Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the InternImage-L model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MViTv2-H (Cascade Mask R-CNN, single-scale, IN21k pre-train) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MOAT-0 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MViTv2-L (Cascade Mask R-CNN, single-scale) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MPViT-B (Cascade Mask R-CNN, multi-scale, IN1k pre-train) model in the MPViT: Multi-Path Vision Transformer for Dense Prediction paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the tiny-MOAT-3 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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 minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the ResNeSt-200 (multi-scale) model in the ResNeSt: Split-Attention Networks paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MViT-L (Mask R-CNN, single-scale) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the RetinaNet (SpineNet-190, 1536x1536) model in the SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the MPViT-B (Cascade R-CNN, sinlge-scale, IN-1K pre-train) model in the MPViT: Multi-Path Vision Transformer for Dense Prediction paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN (ViL Base, multi-scale, 3x lr) model in the Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Mask R-CNN (ViL Base, 1x lr) model in the Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the tiny-MOAT-2 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the GCNet (ResNeXt-101 + DCN + cascade + GC r4) model in the Global Context Networks paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the DaViT-B (Mask R-CNN, 36 epochs) model in the DaViT: Dual Attention Vision Transformers paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the tiny-MOAT-1 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the InternImage-S model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the ResNeSt-200-DCN (single-scale) model in the ResNeSt: Split-Attention Networks paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the ELSA-S (Cascade Mask RCNN) model in the ELSA: Enhanced Local Self-Attention for Vision Transformer paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the BoTNet 200 (Mask R-CNN, single scale, 72 epochs) model in the Bottleneck Transformers for Visual Recognition paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the DaViT-S (Mask R-CNN, 36 epochs) model in the DaViT: Dual Attention Vision Transformers paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the ResNeSt-200 (single-scale) model in the ResNeSt: Split-Attention Networks paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the InternImage-T model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the BoTNet 152 (Mask R-CNN, single scale, 72 epochs) model in the Bottleneck Transformers for Visual Recognition paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the XCiT-M24/8 model in the XCiT: Cross-Covariance Image Transformers paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the tiny-MOAT-0 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the ELSA-S (Mask RCNN) model in the ELSA: Enhanced Local Self-Attention for Vision Transformer paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the XCiT-S24/8 model in the XCiT: Cross-Covariance Image Transformers paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the DaViT-T (Mask R-CNN, 36 epochs) model in the DaViT: Dual Attention Vision Transformers paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the CenterMask-VoVNetV2-99 (multi-scale) model in the CenterMask : Real-Time Anchor-Free Instance Segmentation paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the ResNeSt-101 (single-scale) model in the ResNeSt: Split-Attention Networks paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the SIW model in the The devil is in the labels: Semantic segmentation from sentences paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
What metrics were used to measure the Res2Net-101+HTC model in the Res2Net: A New Multi-scale Backbone Architecture paper on the COCO minival dataset? | mask AP, AP50, AP75, APL, APM, APS, GFLOPs, Params (M), box AP |
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