prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Cascade Mask R-CNN (ResNet-50) model in the Deep Residual Learning for Image Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the HoughNet (HG-104, MS) model in the HoughNet: Integrating near and long-range evidence for bottom-up object detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (HRNetV2p-W48, cascade) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the BoTNet 50 (72 epochs) model in the Bottleneck Transformers for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Sparse R-CNN (ResNet-101, learnable proposals, random crop aug, FPN) model in the Sparse R-CNN: End-to-End Object Detection with Learnable Proposals paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the HTC (HRNetV2p-W32) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNeXt-152 + 1 NL) model in the Non-local Neural Networks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Pix2seq (R101-DC5) model in the Pix2seq: A Language Modeling Framework for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN-FPN (AOGNet-40M) model in the Attentive Normalization paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DETR-DC5 (ResNet-101) model in the End-to-End Object Detection with Transformers paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (VoVNetV2-99, single-scale) model in the CenterMask : Real-Time Anchor-Free Instance Segmentation paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the R3-CNN (ResNet-50-FPN, DCN) model in the Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RPDet (ResNet-101-DCN, multi-scale train) model in the RepPoints: Point Set Representation for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RetinaNet (ViL-Base, multi-scale, 3x) model in the Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Cascade R-CNN (HRNetV2p-W48) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Sparse R-CNN (ResNet-50, learnable proposals, random crop aug, FPN) model in the Sparse R-CNN: End-to-End Object Detection with Learnable Proposals paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the GFL (ResNet-50) model in the Deep Residual Learning for Image Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RPDet (ResNeXt-101-DCN) model in the RepPoints: Point Set Representation for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RetinaNet (ViL-Base) model in the Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the R3-CNN (ResNet-50-FPN, GC-Net) model in the Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster RCNN-R101-FPN+ model in the End-to-End Object Detection with Transformers paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Cascade R-CNN (HRNetV2p-W32) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Sparse R-CNN (ResNet-101, FPN) model in the Sparse R-CNN: End-to-End Object Detection with Learnable Proposals paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ATSS (ResNet-50) model in the Deep Residual Learning for Image Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the PVT-Large (RetinaNet 3x,MS) model in the Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ExtremeNet (Hourglass-104, multi-scale) model in the Bottom-up Object Detection by Grouping Extreme and Center Points paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Pix2seq (R50-DC5 ) model in the Pix2seq: A Language Modeling Framework for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the HTC (cascade) model in the Hybrid Task Cascade for Instance Segmentation paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN-FPN (ResNeXt-101, GN+WS) model in the Micro-Batch Training with Batch-Channel Normalization and Weight Standardization paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the HTC (HRNetV2p-W18) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-101, DCNv2) model in the Deformable ConvNets v2: More Deformable, Better Results paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the HoughNet (HG-104) model in the HoughNet: Integrating near and long-range evidence for bottom-up object detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster R-CNN (FPN, X-volution) model in the X-volution: On the unification of convolution and self-attention paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Cascade R-CNN (ResNet-101-FPN+, cascade) model in the Cascade R-CNN: Delving into High Quality Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the PVT-Large (RetinaNet 1x) model in the Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the CornerNet-Saccade (Hourglass-54) model in the CornerNet-Lite: Efficient Keypoint Based Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Pix2seq (R50) model in the Pix2seq: A Language Modeling Framework for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-101-FPN, GroupNorm, long) model in the Group Normalization paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Sparse R-CNN (ResNet-50, FPN) model in the Sparse R-CNN: End-to-End Object Detection with Learnable Proposals paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (HRNetV2p-W32) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DETR-ResNet50 with iRPE-K (300 epochs) model in the Rethinking and Improving Relative Position Encoding for Vision Transformer paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the TridentNet (ResNet-101) model in the Scale-Aware Trident Networks for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the R3-CNN (ResNet-50-FPN) model in the Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster R-CNN (HRNetV2p-W48) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster R-CNN (LIP-ResNet-101) model in the LIP: Local Importance-based Pooling paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster R-CNN (ResNet-101, DCNv2) model in the Deformable ConvNets v2: More Deformable, Better Results paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FSAF (ResNeXt-101, anchor-based branches) model in the Feature Selective Anchor-Free Module for Single-Shot Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the CornerNet-Saccade (Hourglass-104) model in the CornerNet-Lite: Efficient Keypoint Based Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Grid R-CNN (ResNet-101-FPN) model in the Grid R-CNN paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Cascade R-CNN (HRNetV2p-W18) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the CenterNet511 (Hourglass-52) model in the CenterNet: Keypoint Triplets for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RetinaMask (ResNet-101-FPN) model in the RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the PoolFormer-S36 (Mask R-CNN) model in the MetaFormer Is Actually What You Need for Vision paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster R-CNN (HRNetV2p-W32) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-101 + 1 NL) model in the Non-local Neural Networks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-50-FPN, GroupNorm, long) model in the Group Normalization paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RPDet (ResNet-50, multi-scale train) model in the RepPoints: Point Set Representation for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DETR-ResNet50 with iRPE-K (150 epochs) model in the Rethinking and Improving Relative Position Encoding for Vision Transformer paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster R-CNN+aLRP Loss (ResNet-50, 500 scale) model in the A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the PPDet (ResNet-101-FPN) model in the Reducing Label Noise in Anchor-Free Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the GCnet (ResNet-50-FPN, GRoIE) model in the GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-50-FPN, GroupNorm) model in the Group Normalization paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Cascade R-CNN (ResNet-50-FPN+) model in the Cascade R-CNN: Delving into High Quality Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ExtremeNet (Hourglass-104, single-scale) model in the Bottom-up Object Detection by Grouping Extreme and Center Points paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RPDet (ResNet-101) model in the RepPoints: Point Set Representation for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RetinaNet+aLRP Loss (ResNet-50, 500 scale) model in the A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-101-FPN) model in the Mask R-CNN paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FPN+ model in the Feature Pyramid Networks for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FoveaBox+aLRP Loss (ResNet-50, 500 scale) model in the A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Grid R-CNN (ResNet-50-FPN) model in the Grid R-CNN paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-50, ACNet) model in the Adaptively Connected Neural Networks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FSAF (ResNet-101, anchor-based branches) model in the Feature Selective Anchor-Free Module for Single-Shot Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (HRNetV2p-W18) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-50 + 1 NL) model in the Non-local Neural Networks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FoveaBox (ResNet-101-FPN, 800x800) model in the FoveaBox: Beyond Anchor-based Object Detector paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FCOS (ResNet-50-FPN + improvements) model in the FCOS: Fully Convolutional One-Stage Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RPDet (ResNet-50) model in the RepPoints: Point Set Representation for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Libra R-CNN (ResNet-50 FPN) model in the Libra R-CNN: Towards Balanced Learning for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-50-FPN, GRoIE) model in the A novel Region of Interest Extraction Layer for Instance Segmentation paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the CornerNet511 (Hourglass-104) model in the CornerNet: Detecting Objects as Paired Keypoints paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FoveaBox+Retina (ResNet-50) model in the FoveaBox: Beyond Anchor-based Object Detector paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster R-CNN (HRNetV2p-W18) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FoveaBox (ResNet-101-FPN, 600x600) model in the FoveaBox: Beyond Anchor-based Object Detector paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FSAF (ResNet-101) model in the Feature Selective Anchor-Free Module for Single-Shot Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-50-FPN) model in the Mask R-CNN paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster R-CNN (ResNet-50-FPN, GRoIE) model in the A novel Region of Interest Extraction Layer for Instance Segmentation paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNeXt-101-FPN) model in the Mask R-CNN paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FoveaBox (ResNet-50-FPN, 600x600) model in the FoveaBox: Beyond Anchor-based Object Detector paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FSAF (ResNet-50) model in the Feature Selective Anchor-Free Module for Single-Shot Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the GHM-C + GHM-R (RetinaNet-FPN-ResNet-50, M=30) model in the Gradient Harmonized Single-stage Detector paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Online Fg Bal. Sampling+Hard Negative Mining (ResNet-50) model in the Generating Positive Bounding Boxes for Balanced Training of Object Detectors paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the M2Det (ResNet-1o1, 320x320) model in the M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Faster R-CNN (Res2Net-50) model in the Res2Net: A New Multi-scale Backbone Architecture paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the M2Det (VGG-16, 320x320) model in the M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the EfficientDet-D7x (single-scale) model in the EfficientDet: Scalable and Efficient Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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