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Multiview Pedestrian Detection on MultiviewX (test)

97.3MODAPVH-Enc
15.55636.7785879.222Jul 14, 2020Jul 11, 2021Jul 9, 2022Jul 7, 2023Jul 4, 2024Jul 2, 2025Jun 30, 2026

Evaluation results

MethodLinks
PVH-EncExtra Info=true2026.0697.39599.597.998.7
TrackTacularExtra Info=true2026.0696.57599.497.198.2
MVFPExtra Info=false2026.0695.785.198.497.297.8
MVDGCExtra Info=false2026.0695.79398.896.997.8
MVAugExtra Info=false2026.0695.389.799.495.997.6
3DROMEvaluation protocol=single-scene, Trained on=MultiviewX2024.059584.99996.197.5
3DROMExtra Info=false2026.069584.99996.197.5
MVTTExtra Info=true2026.069592.899.495.697.5
EarlybirdExtra Info=false2026.0694.290.198.695.797.1
MVDeTrImageNet (pre-train)=true2021.0993.791.399.594.2—
MVDeTrEvaluation protocol=single-scene, Trained on=MultiviewX2024.0593.791.399.594.297.8
MVDeTr (ours)2021.0893.791.399.594.2—
MVDetrExtra Info=false2026.0693.791.399.594.596.9
MVDeTrAugmentation=false2021.0893.190.998.594.4—
MVDeTrAggregation=convolution2021.089391.199.493.6—
MVDeTrPer-view loss=false2021.0892.690.699.393.3—
SHOTImageNet (pre-train)=false2021.0988.38296.691.5—
SHOTEvaluation protocol=single-scene, Trained on=MultiviewX2024.0588.38296.691.594
SHOTExtra Info=false2026.0688.38296.691.594
Proposed Method (DropView)ImageNet (pre-train)=true2021.0988.279.996.891.2—
Proposed MethodImageNet (pre-train)=true2021.0986.979.897.289.6—
MVDetAugmentation=true2021.0885.67896.489.2—
VolumetricEvaluation protocol=single-scene, Trained on=MultiviewX2024.0584.280.397.586.491.6
MVDetMultiview aggregation=feature maps, Spatial aggregation=large kernel convolution2020.0783.979.696.886.7—
MVDetImageNet (pre-train)=false2021.0983.979.696.886.7—
MVDetEvaluation protocol=single-scene, Trained on=MultiviewX2024.0583.979.696.886.791.5
MVDet2021.0883.979.696.886.7—
MVDetExtra Info=false2026.0683.979.696.886.791.5
Supervised View-Wise Contribution WeightingEvaluation protocol=cross-scene, Trained on=CVCS, Finetuning=5% of labeled data, Domain adaptation=true (ft+da)2024.0583.876.597.186.491.4
Supervised View-Wise Contribution WeightingEvaluation protocol=cross-scene, Trained on=CVCS, Finetuning=5% of labeled data (ft)2024.0581.177.29585.690.1
Proposed MethodImageNet (pre-train)=false2021.0978.678.196.881.3—
MVDet (w/o large kernel)Multiview aggregation=feature maps, Spatial aggregation=N/A2020.0777.276.389.585.9—
Deep-OcclusionMultiview aggregation=anchor box features, Spatial aggregation=CRF + mean-field inference, re-implemented=true2020.0775.254.797.880.2—
Deep-OcclusionImageNet (pre-train)=false2021.0975.254.797.880.2—
DeepOcc.Evaluation protocol=single-scene, Trained on=MultiviewX2024.0575.254.797.880.288.1
Deep-Occlusion2021.0875.254.797.880.2—
Deep-OccExtra Info=false2026.0675.254.797.880.288.1
MVDet (project results)Multiview aggregation=detection results, Spatial aggregation=large kernel convolution2020.0773.279.787.685—
DeepMCDMultiview aggregation=anchor box features, Spatial aggregation=N/A, re-implemented=true2020.07707385.783.3—
DeepMCDImageNet (pre-train)=false2021.09707385.783.3—
DeepMCDEvaluation protocol=single-scene, Trained on=MultiviewX2024.05707385.783.384.5
DeepMCD2021.08707385.783.3—
DeepMCDExtra Info=false2026.06707385.783.384.5
MVDet (project images)Multiview aggregation=RGB image pixels, Spatial aggregation=large kernel convolution2020.0719.55184.424—
RCNN & clusteringMultiview aggregation=detection results, Spatial aggregation=clustering, re-implemented=true2020.0718.746.463.543.9—
RCNN ClusteringImageNet (pre-train)=false2021.0918.746.463.543.9—
RCNNEvaluation protocol=single-scene, Trained on=MultiviewX2024.0518.746.463.543.951.9
RCNN & clustering2021.0818.746.463.543.9—
RCNN-basedExtra Info=false2026.0618.746.463.543.951.9