prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
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 Cyclists Easy 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 Extended TACO-1 dataset? | AP50 |
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 Cyclists Moderate dataset? | AP |
What metrics were used to measure the Co-DETR model in the DETRs with Collaborative Hybrid Assignments Training paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Co-DETR (Swin-L) model in the DETRs with Collaborative Hybrid Assignments Training paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FocalNet-H (DINO) 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 InternImage-XL model in the InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RevCol-H(DINO) model in the Reversible Column Networks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DINO(Swin-L) model in the DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ViTDet, ViT-H Cascade (multiscale) model in the Exploring Plain Vision Transformer Backbones for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the GLIP (Swin-L, multi-scale) model in the Grounded Language-Image Pre-training paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the UNINEXT-H model in the Universal Instance Perception as Object Discovery and Retrieval paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ViTDet, ViT-H Cascade model in the Exploring Plain Vision Transformer Backbones for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DyHead (Swin-L, multi scale, self-training) 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 ViT-Adapter-L (HTC++, BEiT pretrain, multi-scale) model in the Vision Transformer Adapter for Dense Predictions paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Soft Teacher+Swin-L(HTC++, single scale) model in the End-to-End Semi-Supervised Object Detection with Soft Teacher paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Frozen Backbone, SwinV2-G-ext22K (HTC) model in the Could Giant Pretrained Image Models Extract Universal Representations? paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the HorNet-L model in the HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MOAT-3 (IN-22K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MViTv2-L (Cascade Mask R-CNN, multi-scale, IN21k pre-train) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MOAT-2 (IN-22K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MOAT-1 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the UM-MAE(HTC++, Swin-L, IN1K) model in the Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the YOLOv6-L6(46 fps, 1280, V100) model in the YOLOv6 v3.0: A Full-Scale Reloading paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the QueryInst (single scale) model in the Instances as Queries paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MViTv2-H (Cascade Mask R-CNN, single-scale, IN21k pre-train) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MOAT-0 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the YOLOR-D6 (1280, single-scale, 31 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 YOLOv4-P7 CSP-P7 (single-scale, 16 fps) model in the Scaled-YOLOv4: Scaling Cross Stage Partial Network paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the tiny-MOAT-3 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FAN-L-Hybrid model in the Understanding The Robustness in Vision Transformers paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Hiera-L model in the Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the TEC(VIT-B, Mask-RCNN) model in the Towards Sustainable Self-supervised Learning paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the CAE (ViT-L, Mask R-CNN, 1x schedule) model in the Context Autoencoder for Self-Supervised Representation Learning paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MViTv2-L (Cascade Mask R-CNN, single-scale) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Cascade RCNN-RS (SpineNet-143L, single scale) model in the Simple Training Strategies and Model Scaling for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the UniverseNet-20.08d (Res2Net-101, DCN, multi-scale) model in the USB: Universal-Scale Object Detection Benchmark paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MAE (ViT-L, Mask R-CNN) model in the Masked Autoencoders Are Scalable Vision Learners paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Cascade RCNN-RS (ResNet-200, single scale) model in the Simple Training Strategies and Model Scaling for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the tiny-MOAT-2 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MViT-L (Mask R-CNN, single-scale, IN21k pre-train) model in the MViTv2: Improved Multiscale Vision Transformers for Classification and Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ResNeSt-200 (multi-scale) model in the ResNeSt: Split-Attention Networks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ActiveMLP-B (Cascade Mask R-CNN) model in the Active Token Mixer paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RetinaNet (SpineNet-190, 1536x1536) model in the SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the EfficientDet-D7 (1536) model in the EfficientDet: Scalable and Efficient Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the tiny-MOAT-1 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the GCNet (ResNeXt-101 + DCN + cascade + GC r4) model in the Global Context Networks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ELSA-S (Cascade Mask RCNN) model in the ELSA: Enhanced Local Self-Attention for Vision Transformer paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the FocalNet-T (LRF, 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 ResNeSt-200-DCN (single-scale) model in the ResNeSt: Split-Attention Networks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ResNeSt-200 (single-scale) model in the ResNeSt: Split-Attention Networks paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the tiny-MOAT-0 (IN-1K pretraining, single-scale) model in the MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MAE (ViT-B, Mask R-CNN) model in the Masked Autoencoders Are Scalable Vision Learners paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Sparse R-CNN (PVTv2-B2) model in the PVT v2: Improved Baselines with Pyramid Vision Transformer paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Pix2seq (ViT-L) model in the Pix2seq: A Language Modeling Framework for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DaViT-B (Mask R-CNN, 36 epochs) model in the DaViT: Dual Attention Vision Transformers paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the BoTNet 200 (Mask R-CNN, single scale, 72 epochs) model in the Bottleneck Transformers for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the BoTNet 152 (Mask R-CNN, single scale, 72 epochs) model in the Bottleneck Transformers for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DaViT-S (Mask R-CNN, 36 epochs) model in the DaViT: Dual Attention Vision Transformers paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the REGO-Deformable DETR-X101 model in the Recurrent Glimpse-based Decoder for Detection with Transformer paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNeXt-152-FPN, cascade) model in the Rethinking ImageNet Pre-training paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
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 minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the XCiT-M24/8 model in the XCiT: Cross-Covariance Image Transformers paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the ELSA-S (Mask RCNN) model in the ELSA: Enhanced Local Self-Attention for Vision Transformer paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the XCiT-S24/8 model in the XCiT: Cross-Covariance Image Transformers paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the GCNet (ResNeXt-101 + DCN + cascade + GC r16) model in the GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the MAE-Det(MAE-Det-L+GFLV2) model in the MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Res2Net101+HTC model in the Res2Net: A New Multi-scale Backbone Architecture paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Mask R-CNN (ResNet-101-FPN, GN, Cascade) model in the Rethinking ImageNet Pre-training paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DaViT-T (Mask R-CNN, 36 epochs) model in the DaViT: Dual Attention Vision Transformers paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Pix2seq (R50-C4) model in the Pix2seq: A Language Modeling Framework for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the Pix2seq (ViT-B) model in the Pix2seq: A Language Modeling Framework for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the HTC (HRNetV2p-W48) model in the Deep High-Resolution Representation Learning for Visual Recognition paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the PatchConvNet-S120 (Mask R-CNN) model in the Augmenting Convolutional networks with attention-based aggregation paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RPDet (ResNeXt-101-DCN, multi-scale) model in the RepPoints: Point Set Representation for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the DyHead (ResNet-101) 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 Mask R-CNN (ResNeXt-152-FPN) model in the Rethinking ImageNet Pre-training paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the RPDet (ResNet-101-DCN, multi-scale) model in the RepPoints: Point Set Representation for Object Detection paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
What metrics were used to measure the PatchConvNet-S60 (Mask R-CNN) model in the Augmenting Convolutional networks with attention-based aggregation paper on the COCO minival dataset? | box AP, AP50, AP75, APS, APM, APL, Params (M) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.