prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the M2Det (ResNet-101, multi-scale) model in the M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the YOLOv3 @800 + ASFF* (Darknet-53) model in the Learning Spatial Fusion for Single-Shot Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FoveaBox (ResNeXt-101) model in the FoveaBox: Beyond Anchor-based Object Detector paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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 test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the YOLOv4-608 model in the YOLOv4: Optimal Speed and Accuracy of Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the SNIPER (ResNet-50) model in the SNIPER: Efficient Multi-Scale Training paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the CenterNet (HRNetV2-W48) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the D-RFCN + SNIP (ResNet-101, multi-scale) model in the An Analysis of Scale Invariance in Object Detection - SNIP paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Grid R-CNN (ResNeXt-101-FPN) model in the Grid R-CNN paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FCOS (ResNeXt-101-64x4d-FPN) model in the FCOS: Fully Convolutional One-Stage Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the CornerNet-Saccade (Hourglass-104, multi-scale) model in the CornerNet-Lite: Efficient Keypoint Based Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the PP-YOLOE-s(CSPRepResNet-s, 640x640, single-scale ) model in the PP-YOLOE: An evolved version of YOLO paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Libra R-CNN (ResNeXt-101-FPN) model in the Libra R-CNN: Towards Balanced Learning for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the DyHead (ResNet-50) model in the Dynamic Head: Unifying Object Detection Heads with Attentions paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RPDet (ResNet-101-DCN) model in the RepPoints: Point Set Representation for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the SpineNet-49 (640, RetinaNet, single-scale) model in the SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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 test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Cascade R-CNN model in the Cascade R-CNN: High Quality Object Detection and Instance Segmentation paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the TridentNet (ResNet-101) model in the Scale-Aware Trident Networks for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FCOS (ResNeXt-32x8d-101-FPN) model in the FCOS: Fully Convolutional One-Stage Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RetinaMask (ResNeXt-101-FPN-GN) model in the RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the TAL + TAP model in the TOOD: Task-aligned One-stage Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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 test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the HSD (Rest101, 768x768, single-scale test) model in the Hierarchical Shot Detector paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the CornerNet511 (Hourglass-104, multi-scale) model in the CornerNet: Detecting Objects as Paired Keypoints paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FoveaBox (ResNeXt-101) model in the FoveaBox: Beyond Anchor-based Object Detector paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FCOS (HRNet-W32-5l) model in the FCOS: Fully Convolutional One-Stage Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RefineDet512+ (ResNet-101) model in the Single-Shot Refinement Neural Network for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the GHM-C + GHM-R (RetinaNet-FPN-ResNeXt-101) model in the Gradient Harmonized Single-stage Detector paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the CenterNet-DLA (DLA-34, multi-scale) model in the Objects as Points paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RetinaNet (SpineNet-49S, 640x640) model in the SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RPDet (ResNet-101) model in the RepPoints: Point Set Representation for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the M2Det (VGG-16, single-scale) model in the M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FSAF (ResNet-101, single-scale) model in the Feature Selective Anchor-Free Module for Single-Shot Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RetinaNet (ResNeXt-101-FPN) model in the Focal Loss for Dense Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Cascade R-CNN (ResNet-50-FPN+, cascade) model in the Cascade R-CNN: Delving into High Quality Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Faster R-CNN (Cascade RPN) model in the Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the ResNet-50-DW-DPN (Deformable Kernels) model in the Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the IoU-Net model in the Acquisition of Localization Confidence for Accurate Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FCOS (HRNetV2p-W48) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the ResNet-50-FPN Mask R-CNN + KL Loss + var voting + soft-NMS model in the Bounding Box Regression with Uncertainty for Accurate Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RDSNet (ResNet-101, RetinaNet, mask, MBRM) model in the RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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 test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Mask R-CNN (ResNet-101-FPN, CBN) model in the Cross-Iteration Batch Normalization paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Fast R-CNN (Cascade RPN) model in the Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the GA-Faster-RCNN model in the Region Proposal by Guided Anchoring paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the ResNet-50 NAS-FCOS @256 model in the NAS-FCOS: Fast Neural Architecture Search for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FPN (ResNet101 backbone) model in the ChainerCV: a Library for Deep Learning in Computer Vision paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RetinaMask (ResNet-50-FPN) model in the RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the PP-YOLO (320x320) model in the PP-YOLO: An Effective and Efficient Implementation of Object Detector paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the AA-ResNet-10 + RetinaNet model in the Attention Augmented Convolutional Networks paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the MAL (ResNet50, single-scale) model in the Multiple Anchor Learning for Visual Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RetinaNet (ResNet-101-FPN) model in the Focal Loss for Dense Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Cascade R-CNN (ResNet-101-FPN+) model in the Cascade R-CNN: Delving into High Quality Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the M2Det (ResNet-101, single-scale) model in the M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the YOLOv7-tiny-SiLU (286 fps) model in the YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the SaccadeNet (DLA-34-DCN) model in the SaccadeNet: A Fast and Accurate Object Detector paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Mask R-CNN (ResNet-101-FPN) model in the Mask R-CNN paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the WSMA-Seg model in the Segmentation is All You Need paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Faster R-CNN + FPN + CGD model in the Compact Global Descriptor for Neural Networks paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the CornerNet511 (Hourglass-52, single-scale) model in the CornerNet: Detecting Objects as Paired Keypoints paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RefineDet512+ (VGG-16) model in the Single-Shot Refinement Neural Network for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the DeformConv-R-FCN (Aligned-Inception-ResNet) model in the Deformable Convolutional Networks paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Faster R-CNN (ImageNet+300M) model in the Revisiting Unreasonable Effectiveness of Data in Deep Learning Era paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Faster R-CNN + TDM model in the Beyond Skip Connections: Top-Down Modulation for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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 test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RefineDet512 (ResNet-101) model in the Single-Shot Refinement Neural Network for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Faster R-CNN + FPN model in the Feature Pyramid Networks for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Faster R-CNN (Bottleneck-injected ResNet-50 and FPN) model in the torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Faster R-CNN (box refinement, context, multi-scale testing) model in the Deep Residual Learning for Image Recognition paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the MobileNetV2 NAS-FCOS @256 model in the NAS-FCOS: Fast Neural Architecture Search for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Faster R-CNN model in the Speed/accuracy trade-offs for modern convolutional object detectors paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the CornerNet-Squeeze model in the CornerNet-Lite: Efficient Keypoint Based Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the ION model in the Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RefineDet512 (VGG-16) model in the Single-Shot Refinement Neural Network for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the YOLOv3 + Darknet-53 model in the YOLOv3: An Incremental Improvement paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the YOLOX-Tiny(416x416, single-scale) model in the YOLOX: Exceeding YOLO Series in 2021 paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the SSD512 model in the SSD: Single Shot MultiBox Detector paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the EdgeNeXt model in the EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the MnasFPN (MobileNetV2) model in the MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the ESPNetv2-512 model in the ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the YOLOX-Nano(416x416, single-scale) model in the YOLOX: Exceeding YOLO Series in 2021 paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the MnasFPN (MobileNetV3) model in the MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the MnasFPN (MNASNet-B1) model in the MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the MnasFPN x0.7 (MobileNetV2) model in the MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the MobielNet-v1-SSD-300x300+CGD model in the Compact Global Descriptor for Neural Networks paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Fast-RCNN model in the Fast R-CNN paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the MobileNet model in the MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the CenterMask-VoVNet99 (multi-scale) model in the CenterMask : Real-Time Anchor-Free Instance Segmentation paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the DyHead (ResNet-101) model in the Dynamic Head: Unifying Object Detection Heads with Attentions paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Mask R-CNN (HRNetV2p-W32 + cascade) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the FoveaBox (ResNeXt-101) model in the FoveaBox: Beyond Anchor-based Object Detector paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Centermask + ResNet101 model in the CenterMask : Real-Time Anchor-Free Instance Segmentation paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the PAFNet (ResNet50-vd) model in the PAFNet: An Efficient Anchor-Free Object Detector Guidance paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the IoU-Net+EnergyRegression model in the Energy-Based Models for Deep Probabilistic Regression paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.