prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the Det-AdvProp
(EfficientNet-B5) model in the Robust and Accurate Object Detection via Adversarial Learning paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the YOLOv4-P6 model in the YOLOv4: Optimal Speed and Accuracy of Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the YOLOX-X model in the YOLOX: Exceeding YOLO Series in 2021 paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the CenterNet2
(R2-101-DCN) model in the Probabilistic two-stage detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the GLIP-T
(Swin-T) model in the Grounded Language-Image Pre-training paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the EfficientDet-D5
(EfficientNet-B5) model in the EfficientDet: Scalable and Efficient Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the PVTv2-B5
(Mask R-CNN) model in the PVT v2: Improved Baselines with Pyramid Vision Transformer paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the VFNet
(RX-101-64x4d) model in the VarifocalNet: An IoU-aware Dense Object Detector paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the GCNet
(RX-101-32x4d-DCN) model in the GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the GFLv2
(R2-101-DCN) model in the Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the RepPointsV2
(RX-101-64x4d-DCN) model in the RepPoints V2: Verification Meets Regression for Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the UniverseNet
(R2-101-DCN) model in the USB: Universal-Scale Object Detection Benchmark paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the YOLOX-S model in the YOLOX: Exceeding YOLO Series in 2021 paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the YOLOS-B
(ViT-B) model in the You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
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-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the HTC
(ResNet-50) model in the Hybrid Task Cascade for Instance Segmentation paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the Deformable-DETR
(ResNet-50) model in the Deformable DETR: Deformable Transformers for End-to-End Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the Cascade R-CNN
(ResNet-50) model in the Cascade R-CNN: High Quality Object Detection and Instance Segmentation paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the Mask R-CNN
(ResNet-50) model in the Mask R-CNN paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the DETR
(ResNet-50) model in the End-to-End Object Detection with Transformers paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the ATSS
(ResNet-50) model in the Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the FCOS
(ResNet-50) model in the FCOS: Fully Convolutional One-Stage Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the RetinaNet
(ResNet-50) model in the Focal Loss for Dense Object Detection paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the Faster R-CNN
(ResNet-50-FPN) model in the Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the YOLOv3
(DarkNet-53) model in the YOLOv3: An Incremental Improvement paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the SSD
(VGG-16) model in the SSD: Single Shot MultiBox Detector paper on the COCO-O dataset? | Average mAP, Effective Robustness |
What metrics were used to measure the Vote3Deep model in the Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks paper on the KITTI Pedestrians Hard dataset? | AP |
What metrics were used to measure the EfficientDet-D2 model in the Waste detection in Pomerania: non-profit project for detecting waste in environment paper on the MJU-Waste dataset? | AP50 |
What metrics were used to measure the SSOD + Crop (L + U) model in the Density Crop-guided Semi-supervised Object Detection in Aerial Images paper on the VisDrone - 10% labeled data dataset? | COCO-style AP |
What metrics were used to measure the MobileViTv3-1.0 model in the MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features paper on the ImageNet dataset? | Number of Params |
What metrics were used to measure the Aquavision model in the AquaVision: Automating the detection of waste in water bodies using deep transfer learning paper on the AquaTrash dataset? | mean average precision |
What metrics were used to measure the Attention-based Joint Detection of Object and Semantic Part model in the Attention-based Joint Detection of Object and Semantic Part paper on the PASCAL Part 2010 - Animals dataset? | mAP@0.5 |
What metrics were used to measure the Co-DETR (single-scale) model in the DETRs with Collaborative Hybrid Assignments Training paper on the LVIS v1.0 val dataset? | box AP, box APr |
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 LVIS v1.0 val dataset? | box AP, box APr |
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 LVIS v1.0 val dataset? | box AP, box APr |
What metrics were used to measure the ViTDet-H model in the Exploring Plain Vision Transformer Backbones for Object Detection paper on the LVIS v1.0 val dataset? | box AP, box APr |
What metrics were used to measure the ViTDet-L model in the Exploring Plain Vision Transformer Backbones for Object Detection paper on the LVIS v1.0 val dataset? | box AP, box APr |
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 LVIS v1.0 val dataset? | box AP, box APr |
What metrics were used to measure the Eff-B7 NAS-FPN (1280, Copy-Paste pre-training)) model in the Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation paper on the LVIS v1.0 val dataset? | box AP, box APr |
What metrics were used to measure the R101-MaskRCNN-LOCE model in the Exploring Classification Equilibrium in Long-Tailed Object Detection paper on the LVIS v1.0 val dataset? | box AP, box APr |
What metrics were used to measure the R50-MaskRCNN-LOCE model in the Exploring Classification Equilibrium in Long-Tailed Object Detection paper on the LVIS v1.0 val dataset? | box AP, box APr |
What metrics were used to measure the EfficientDet-D2 model in the Waste detection in Pomerania: non-profit project for detecting waste in environment paper on the UAVVaste dataset? | AP50 |
What metrics were used to measure the HMNet-L3 model in the Hierarchical Neural Memory Network for Low Latency Event Processing paper on the GEN1 Detection dataset? | mAP |
What metrics were used to measure the Spiking DenseNet121-124+SSD model in the Object Detection with Spiking Neural Networks on Automotive Event Data paper on the GEN1 Detection dataset? | mAP |
What metrics were used to measure the Spiking VGG-11+SDD model in the Object Detection with Spiking Neural Networks on Automotive Event Data paper on the GEN1 Detection dataset? | mAP |
What metrics were used to measure the Spiking MobileNet-64+SSD model in the Object Detection with Spiking Neural Networks on Automotive Event Data paper on the GEN1 Detection dataset? | mAP |
What metrics were used to measure the LeapMotor_Det model in the 2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object Detection paper on the Waymo Open Dataset dataset? | AP/L2, Latency, ms |
What metrics were used to measure the YOLOR_TensorRT (Ours) model in the 2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object Detection paper on the Waymo Open Dataset dataset? | AP/L2, Latency, ms |
What metrics were used to measure the YOLOR_P6_TRT model in the 2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object Detection paper on the Waymo Open Dataset dataset? | AP/L2, Latency, ms |
What metrics were used to measure the dereyly_self_ensemble model in the 2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object Detection paper on the Waymo Open Dataset dataset? | AP/L2, Latency, ms |
What metrics were used to measure the YOLO_v5 model in the 2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object Detection paper on the Waymo Open Dataset dataset? | AP/L2, Latency, ms |
What metrics were used to measure the Retina-UNet-Ag model in the Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection paper on the A Dataset of Multispectral Potato Plants Images dataset? | Average IOU, Dice Score |
What metrics were used to measure the UniverseNet-20.08 model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the UniverseNet model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the ATSS (ConvNeXt-T) model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the YOLOX-L model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the ATSS+DyHead model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the ATSS (Swin-T) model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the Cascade R-CNN model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the ATSS+SEPC model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the GFL model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the ATSS model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the Faster R-CNN model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the RetinaNet model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the Deformable DETR model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the Sparse R-CNN model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the DETR model in the USB: Universal-Scale Object Detection Benchmark paper on the USB (Standard USB 1.0 protocol) dataset? | mCAP |
What metrics were used to measure the YOLOv6-L6(46 fps, V100, bs1) model in the YOLOv6 v3.0: A Full-Scale Reloading paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
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 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the Gold-YOLO-L model in the Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
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 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
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 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
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 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the Gold-YOLO-M model in the Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the RF-ConvNeXt-T Cascade R-CNN model in the RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the SQR-Adamixer-R101 model in the Enhanced Training of Query-Based Object Detection via Selective Query Recollection paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
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 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ViDT Swin-base model in the ViDT: An Efficient and Effective Fully Transformer-based Object Detector paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the SQR-Adamixer-R50 model in the Enhanced Training of Query-Based Object Detection via Selective Query Recollection paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the MogaNet-L (RetinaNet 1x) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
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 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the MogaNet-B (RetinaNet 1x) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ViDT Swin-small model in the ViDT: An Efficient and Effective Fully Transformer-based Object Detector paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
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 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the Gold-YOLO-S model in the Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the MogaNet-S (RetinaNet 1x) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ViDT Swin-tiny model in the ViDT: An Efficient and Effective Fully Transformer-based Object Detector paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
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 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the MogaNet-T (RetinaNet 1x) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the MogaNet-XT (Mask R-CNN 1x) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ViDT Swin-nano model in the ViDT: An Efficient and Effective Fully Transformer-based Object Detector paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the Gold-YOLO-N model in the Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the MogaNet-XT (RetinaNet 1x) model in the Efficient Multi-order Gated Aggregation Network paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the DyHead (Swin-T, multi scale) model in the Dynamic Head: Unifying Object Detection Heads with Attentions paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the DINO-5scale (12 epochs, 900 queries) model in the DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the DINO (Swin-L, multi-scale, TTA) model in the DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ConvNeXt V1-B (Supervised) model in the ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ConvNeXt V2-B (Supervised) model in the ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the Swin-B (SimMIM) model in the ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
What metrics were used to measure the ConvNeXt V2-B (FCMAE) model in the ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders paper on the COCO 2017 val dataset? | AP, AP50, AP75, APL, APM, APS, Param. |
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