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What metrics were used to measure the SpineNet-190 (1280, with Self-training on OpenImages, single-scale) model in the Rethinking Pre-training and Self-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 UniverseNet-20.08d (Res2Net-101, DCN, multi-scale) model in the USB: Universal-Scale Object Detection Benchmark 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 (ResNeXt-64x4d-101-DCN, 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 dBOT ViT-B (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 PAA (ResNext-152-32x8d + DCN, multi-scale) model in the Probabilistic Anchor Assignment with IoU Prediction 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 LSNet (Res2Net-101+ DCN, multi-scale) model in the Location-Sensitive Visual Recognition with Cross-IOU Loss 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-B 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 ResNeSt-200 (multi-scale) model in the ResNeSt: Split-Attention 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 Cascade Mask R-CNN (Triple-ResNeXt152, multi-scale) model in the CBNet: A Novel 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 DetectoRS (ResNeXt-101-32x4d, single-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 PRB-FPN-MSP 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 GFLV2 (Res2Net-101, DCN, multiscale) model in the Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation 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 YOLOv7-X (114 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 RelationNet++ (ResNeXt-64x4d-101-DCN) model in the RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder 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 EfficientDet-D7 (1536) model in the EfficientDet: Scalable and Efficient 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-FPN-ELAN 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 YOLOv4-P5 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 Deformable DETR (ResNeXt-101+DCN) model in the Deformable DETR: Deformable Transformers 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 GCNet (ResNeXt-101 + DCN + cascade + GC r4) model in the Global Context 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 PP-YOLOE-x(CSPRepResNet-x, 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 RetinaNet (SpineNet-190, 1280x1280) 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 RepPoints v2 (ResNeXt-101, DCN, multi-scale) model in the RepPoints V2: Verification Meets Regression 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 AC-FPN Cascade R-CNN (X-152-32x8d-FPN-IN5k, multi scale, only CEM) model in the Attention-guided Context Feature Pyramid 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 PRB-FPN-CSP 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 OTA (ResNeXt-101+DCN, multiscale) model in the OTA: Optimal Transport Assignment 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 YOLOX-x(Modified CSP v5, 640x640, 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 PP-YOLOE-l(CSPRepResNet-l, 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 YOLOv7 (161 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 UniverseNet-20.08d (Res2Net-101, DCN, single-scale) model in the USB: Universal-Scale Object Detection Benchmark 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 TSD(SENet154-DCN,multi-scale) model in the Revisiting the Sibling Head in 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 YOLOX-X (Modified CSP v5) 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 iBOT (ViT-B/16) model in the iBOT: Image BERT Pre-Training with Online Tokenizer 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-143, 1280x1280) 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 ATSS (ResNetXt-64x4d-101+DCN,multi-scale) model in the Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection 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 NAS-FPN (AmoebaNet-D, learned aug) model in the Learning Data Augmentation Strategies 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 Boosting R-CNN* model in the Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater 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 GFLV2 (Res2Net-101, DCN) model in the Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation 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 aLRP Loss (ResNext-101-64x4d, DCN, multiscale test) model in the A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in 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 FreeAnchor + SEPC (DCN, ResNext-101-64x4d) model in the Scale-Equalizing Pyramid Convolution 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 D2Det (ResNet-101-DCN, multi-scale test) model in the D2Det: Towards 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 Dynamic R-CNN (ResNet-101-DCN, multi-scale) model in the Dynamic R-CNN: Towards High Quality Object Detection via Dynamic 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 DAMO-YOLO-M model in the DAMO-YOLO : A Report on Real-Time Object Detection Design 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 TSD(ResNet-101-Deformable, Image Pyramid) model in the Revisiting the Sibling Head in 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 RepPoints v2 (ResNeXt-101, DCN) model in the RepPoints V2: Verification Meets Regression 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 (ViT-B) 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 iBOT (ViT-S/16) model in the iBOT: Image BERT Pre-Training with Online Tokenizer 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 CPNDet (Hourglass-104, multi-scale) model in the Corner Proposal Network for Anchor-free, Two-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 GFLV2 (ResNeXt-101, 32x4d, DCN) model in the Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation 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 aLRP Loss (ResNext-101-64x4d, DCN, single scale) model in the A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in 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-m(CSPRepResNet-m, 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 UniverseNet-20.08 (Res2Net-50, DCN, single-scale) model in the USB: Universal-Scale Object Detection Benchmark 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 (ResNet101, 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 RetinaNet (SpineNet-96, 1024x1024) 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 TridentNet (ResNet-101-Deformable, Image Pyramid) 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 GCNet (ResNeXt-101 + DCN + cascade + GC r4) model in the GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond 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 GFLV2 (ResNet-101-DCN) model in the Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation 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 GFL (X-101-32x4d-DCN, single-scale) model in the Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes 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 ISTR (ResNet101-FPN-3x, single-scale) model in the ISTR: End-to-End Instance Segmentation with 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 YOLOX-Darknet53(Darknet53, 640x640, 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 DAT-S (RetinaNet) model in the Vision Transformer with Deformable Attention 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 aLRP Loss (ResNext-101-64x4d, single scale) model in the A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in 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 MatrixNet Corners (ResNet-152, multi-scale) model in the Matrix Nets: A New Deep 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 SOLQ (ResNet50, 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 DyHead (ResNeXt-64x4d-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 SAPD (ResNeXt-101, single-scale) model in the Soft Anchor-Point 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 PANet (ResNeXt-101, multi-scale) model in the Path Aggregation Network 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 HTC (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 HTC (ResNeXt-101-FPN) model in the Hybrid Task Cascade 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 CenterNet511 (Hourglass-104, multi-scale) model in the CenterNet: Keypoint Triplets 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 MAL (ResNeXt101, multi-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 ISTR (ResNet50-FPN-3x) model in the ISTR: End-to-End Instance Segmentation with 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 RetinaNet (SpineNet-49, 896x896) 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-DCN, multi-scale) 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 HoughNet (MS) model in the HoughNet: Integrating near and long-range evidence for bottom-up 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 PPDet (ResNeXt-101-FPN, multiscale) model in the Reducing Label Noise in Anchor-Free 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 GFLV2 (ResNet-101) model in the Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation 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 SNIPER (ResNet-101) 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 Mask R-CNN (HRNetV2p-W48 + 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 ResNeXt-64x4d-101 NAS-FCOS @128-256 w/improvements 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 DCNv2 (ResNet-101, multi-scale) model in the Deformable ConvNets v2: More Deformable, Better Results 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 Gaussian-FCOS model in the Localization Uncertainty Estimation for Anchor-Free 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-FPN (ResNet-101, map-guided) model in the InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting 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 (ResNeXt101, 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 CenterMask+VoVNetV2-99 (single-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 D-RFCN + SNIP (DPN-98 with flip, 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 YOLOv4 (CD53) 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 PP-YOLO (608x608) 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 AC-FPN Cascade R-CNN(ResNet-101, single scale) model in the Attention-guided Context Feature Pyramid 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 FreeAnchor (ResNeXt-101) model in the FreeAnchor: Learning to Match Anchors 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 FCOS (ResNeXt-64x4d-101-FPN 4 + improvements) 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 CenterMask+VoVNet2-57 (single-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 FSAF (ResNeXt-101, multi-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 aLRP Loss (ResNext-101, DCN, 500 scale) model in the A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in 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 CenterMask + X-101-32x8d (single-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 RetinaNet (SpineNet-49, 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 YOLOF-DC5 model in the You Only Look One-level Feature 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 GFLV2 (ResNet-50) model in the Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation 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 InterNet (ResNet-101-FPN, multi-scale) model in the Feature Intertwiner 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, 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 Faster R-CNN (LIP-ResNet-101-MD w FPN) model in the LIP: Local Importance-based Pooling 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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