prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the YOLOR-P6 (1280, single-scale, 72 fps) model in the You Only Learn One Representation: Unified Network for Multiple Tasks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FocalNet-T (SRF, Cascade Mask R-CNN) model in the Focal Modulation Networks 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, GRoIE) 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 Mask R-CNN (HRNetV2p-W32, 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 Shift-T model in the When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DyHead (ResNeXt-64x4d-101-DCN, multi scale) model in the Dynamic Head: Unifying Object Detection Heads with Attentions paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the YOLOv5x6 model in the An Enhanced Object Detection Model for Scene Graph Generation paper on the Visual Genome dataset? | MAP |
What metrics were used to measure the MSDN model in the Scene Graph Generation from Objects, Phrases and Region Captions paper on the Visual Genome dataset? | MAP |
What metrics were used to measure the AP (%) model in the DenseCap: Fully Convolutional Localization Networks for Dense Captioning paper on the Visual Genome dataset? | MAP |
What metrics were used to measure the PP-YOLOE-plus model in the PP-YOLOE: An evolved version of YOLO paper on the VisDrone-DET2019 dataset? | AP50, APvt, APt, APs |
What metrics were used to measure the CZ Det model in the Cascaded Zoom-in Detector for High Resolution Aerial Images paper on the VisDrone-DET2019 dataset? | AP50, APvt, APt, APs |
What metrics were used to measure the Cascade R-CNN + NWD model in the A Normalized Gaussian Wasserstein Distance for Tiny Object Detection paper on the VisDrone-DET2019 dataset? | AP50, APvt, APt, APs |
What metrics were used to measure the Cascade R-CNN (R50-FPN) model in the BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training paper on the BigDetection val dataset? | AP, AP50, AP75 |
What metrics were used to measure the CenterNet2 (R50-FPN) model in the BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training paper on the BigDetection val dataset? | AP, AP50, AP75 |
What metrics were used to measure the Faster R-CNN (R50-FPN) model in the BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training paper on the BigDetection val dataset? | AP, AP50, AP75 |
What metrics were used to measure the Faster R-CNN (R50) model in the BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training paper on the BigDetection val dataset? | AP, AP50, AP75 |
What metrics were used to measure the Deformable DETR (R50) model in the BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training paper on the BigDetection val dataset? | AP, AP50, AP75 |
What metrics were used to measure the YOLOv3 (D53) model in the BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training paper on the BigDetection val dataset? | AP, AP50, AP75 |
What metrics were used to measure the ScaleDet model in the ScaleDet: A Scalable Multi-Dataset Object Detector paper on the Objects365 dataset? | AP |
What metrics were used to measure the RL [10] Lpixel model in the Paint Transformer: Feed Forward Neural Painting with Stroke Prediction paper on the A2D dataset? | Mean IoU |
What metrics were used to measure the YOLOX-L model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the UniverseNet-20.08 model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the UniverseNet model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the ATSS+DyHead model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the Cascade R-CNN model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the ATSS (ConvNeXt-T) model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the GFL model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the ATSS+SEPC model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the ATSS model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the ATSS (Swin-T) model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the Faster R-CNN model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the RetinaNet model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the Deformable DETR model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the Sparse R-CNN model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the DETR model in the USB: Universal-Scale Object Detection Benchmark paper on the Manga109-s 15test dataset? | COCO-style AP |
What metrics were used to measure the Patches model in the Patch Refinement -- Localized 3D Object Detection paper on the KITTI Cars Easy dataset? | AP |
What metrics were used to measure the PointRCNN Shi et al. (2019) model in the PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud paper on the KITTI Cars Easy dataset? | AP |
What metrics were used to measure the Roarnet model in the RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement paper on the KITTI Cars Easy dataset? | AP |
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 Cars Easy dataset? | AP |
What metrics were used to measure the VeloFCN model in the Vehicle Detection from 3D Lidar Using Fully Convolutional Network paper on the KITTI Cars Easy dataset? | AP |
What metrics were used to measure the Synth Pretrained Faster R-CNN ResNeXt-101-FPN model in the Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the Synth Pretrained Yolo5 model in the Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the Yolo 5 model in the Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the Faster R-CNN ResNeXt-101-FPN model in the SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the CenterNet Hourglass104 model in the SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the Synth Pretrained EffDetD0 model in the Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the EfficientDet D0 model in the SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the CenterNet ResNet101 model in the SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the Faster RCNN ResNet50FPN model in the SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the CenterNet ResNet18 model in the SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water paper on the SeaDronesSee dataset? | mAP@0.5 |
What metrics were used to measure the Co-DETR model in the DETRs with Collaborative Hybrid Assignments 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 InternImage-H model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions 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 M3I Pre-training (InternImage-H) model in the Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information 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 Co-DETR (Swin-L) model in the DETRs with Collaborative Hybrid Assignments 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 Focal-Stable-DINO (without TTA) model in the A Strong and Reproducible Object Detector with Only Public Datasets 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 EVA model in the EVA: Exploring the Limits of Masked Visual Representation Learning at Scale 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 Group DETR v2 model in the Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining 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 FocalNet-H (DINO) model in the Focal Modulation 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 InternImage-XL model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions 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 FD-SwinV2-G model in the Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the RevCol-H(DINO) model in the Reversible Column 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 BEiT-3 model in the Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the DETA (Swin-L) model in the NMS Strikes Back 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 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 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 SwinV2-G (HTC++) model in the Swin Transformer V2: Scaling Up Capacity and Resolution 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 Grounding DINO model in the Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set 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 Florence-CoSwin-H model in the Florence: A New Foundation Model for 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 GLIPv2 (CoSwin-H, multi-scale) model in the GLIPv2: Unifying Localization and Vision-Language Understanding 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 GLIP (Swin-L, multi-scale) model in the Grounded Language-Image Pre-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 Soft Teacher + Swin-L (HTC++, multi-scale) model in the End-to-End Semi-Supervised Object Detection with Soft Teacher paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the ViT-Adapter-L (HTC++, BEiTv2 pretrain, multi-scale) model in the Vision Transformer Adapter for Dense Predictions paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the DyHead (Swin-L, multi scale, self-training) 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 ViT-Adapter-L (HTC++, BEiT pretrain, multi-scale) model in the Vision Transformer Adapter for Dense Predictions 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 GRiT (ViT-H, single-scale testing) model in the GRiT: A Generative Region-to-text Transformer for Object Understanding 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 CBNetV2 (Dual-Swin-L HTC, multi-scale) model in the CBNet: A Composite Backbone Network Architecture for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the CBNetV2 (Dual-Swin-L HTC, single-scale) model in the CBNet: A Composite Backbone Network Architecture for Object Detection paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the Focal-L (DyHead, multi-scale) model in the Focal Self-attention for Local-Global Interactions in Vision Transformers 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 (Swin-L, multi scale) 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 Swin-L (HTC++, multi scale) model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 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 YOLOR-D6 (1280, distillation, single-scale, 34fps) model in the You Only Learn One Representation: Unified Network for Multiple Tasks 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 Swin-L (HTC++, single scale) model in the Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 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 Eff-B7 NAS-FPN (1280, self-training Copy Paste, single-scale) model in the Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the PyCenterNet (Swin-L, multi-scale) model in the CenterNet++ 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 PRB-FPN6 model in the Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate 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 YOLOv7-E6E (36 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 dBOT ViT-L (CLIP) model in the Exploring Target Representations for Masked Autoencoders 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-D6 (44 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 SOLQ (Swin-L, single scale) model in the SOLQ: Segmenting Objects by Learning Queries 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 CenterNet2 (Res2Net-101-DCN-BiFPN, self-training, 1560 single-scale) model in the Probabilistic two-stage 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 QueryInst (single-scale) model in the Instances as Queries 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 dBOT ViT-L model in the Exploring Target Representations for Masked Autoencoders 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-E6 (56 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 YOLOv4-P7 with TTA model in the Scaled-YOLOv4: Scaling Cross Stage Partial 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 DetectoRS (ResNeXt-101-64x4d, multi-scale) model in the DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the YOLOR-D6 (1280, single-scale, 30 fps) model in the You Only Learn One Representation: Unified Network for Multiple Tasks 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-P6 with TTA model in the Scaled-YOLOv4: Scaling Cross Stage Partial 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-W6 (84 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 Cascade Eff-B7 NAS-FPN (1280) model in the Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the DetectoRS (ResNeXt-101-32x4d, multi-scale) model in the DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
What metrics were used to measure the YOLOv4-P6 CSP-P6 (single-scale, 32 fps) model in the Scaled-YOLOv4: Scaling Cross Stage Partial Network paper on the COCO test-dev dataset? | box mAP, AP50, AP75, APS, APM, APL, Hardware Burden, Params (M), Operations per network pass |
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