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Pedestrian Detection on CityPersons (val)

17.9AP (Reasonable)

InterNet

Updated 4d ago

Evaluation Results

Method
InterNet 2021.11	17.9	60.4	23.7	13.5	-	-	-	70.2	48.2
F.RCNN+ATT-vbb 2021.11	16.4	-	-	-	-	-	-	57.3	-
F.RCNN+ATT-part 2021.11	16	-	-	-	-	-	-	56.7	38.2
Faster RCNN 2022.06	15.52	-	-	-	-	-	-	64.83	41.45
TLL 2018.07	15.5	53.6	17.2	10	-	-	-	-	-
TLL 2020.02	15.5	53.6	17.2	10	-	-	-	-	-
TLL 2021.11	15.5	53.6	17.2	10	-	-	-	-	-
TLL 2022.10	15.5	53.6	17.2	10	-	-	-	-	-
TLL 2022.10	15.5	53.6	17.2	10	-	-	-	-	-
Zhang et al. 2017.11	15.4	55	18.9	9.3	-	-	-	-	-
Citypersons 2018.07	15.4	-	-	-	-	-	-	-	-
FRCNN 2020.02	15.4	-	-	-	-	-	-	-	-
Adapted FasterRCNN 2021.11	15.4	55	18.9	9.3	-	-	-	64.8	41.5
Adapted Faster RCNN 2022.10	15.4	-	-	-	-	-	-	-	-
Zhang et al. 2017.11	14.8	-	-	-	-	-	-	-	-
FRCNN+Seg 2020.02	14.8	-	-	-	-	-	-	-	-
Baseline 2017.11	14.6	60.6	18.6	7.9	-	-	-	-	-
TLL(MRF) 2018.07	14.4	52	15.9	9.2	-	-	-	-	-
TLL+MRF 2020.02	14.4	52	15.9	9.2	-	-	-	-	-
TLL+MRF 2021.11	14.4	52	15.9	9.2	-	-	-	52	-
Tao et al. 2022.06	14.4	-	-	-	-	-	-	52	34.24
TLL + MRF 2022.10	14.4	52	15.9	9.2	-	-	-	-	-
FC-Net 2023.04	13.9	-	-	-	-	-	-	-	29.6
RepLoss 2017.11	13.7	57.5	17.3	7.2	-	-	-	-	-
RepLoss 2017.11	13.7	59.1	17.2	7.8	-	-	-	-	-
Das et al. 2022.06	13.29	-	-	-	-	-	-	46.07	29.13
RepLoss 2017.11	13.2	56.9	16.8	7.6	-	-	-	-	-
Repulsion Loss 2018.07	13.2	56.9	16.8	7.6	-	-	-	-	-
Repulsion Loss 2020.02	13.2	56.9	16.8	7.6	-	-	-	-	-
Repulsion Loss 2021.11	13.2	56.9	16.8	7.6	-	-	-	56.9	-
RepLoss 2022.10	13.2	56.9	16.8	7.6	-	-	-	-	-
RepLoss 2022.10	13.2	56.9	16.8	7.6	-	-	-	-	-
Zhang et al. 2017.11	12.8	-	-	-	-	-	-	-	-
OR-CNN 2020.02	12.8	55.7	15.3	6.7	-	-	-	-	-
OR-CNN 2021.11	12.8	55.7	15.3	6.7	-	-	-	55.7	-
OR-CNN 2022.10	12.8	55.7	15.3	6.7	-	-	-	-	-
OR-CNN 2022.10	12.8	55.7	15.3	6.7	-	-	-	-	-
Adapted Faster RCNN 2022.10	12.8	-	-	-	-	-	-	-	-
HBAN 2020.02	12.5	48.1	-	-	-	-	-	-	-
CrowdDet 2021.11	12.1	47.7	12.9	7.5	-	-	-	40	25.4
Deep Multi-Task Network 2022.06	12.01	-	-	-	-	-	-	44.7	27.8
ALF 2020.02	12	51.9	11.4	8.4	-	-	-	-	-
ALFNet 2021.11	12	51.9	11.4	8.4	-	-	-	43.8	26.3
ALFNet 2022.10	12	51.9	11.4	8.4	-	-	-	-	-
Adaptive NMS 2022.10	12	51.2	11.9	6.8	-	-	-	-	-
ALFNet 2022.10	12	51.9	11.4	7.3	-	-	-	-	-
ALFNet 2023.04	12	-	-	-	-	-	-	43.8	26.3
Adaptive NMS 2020.02	11.9	54	11.4	6.2	-	-	-	-	-
Adaptive-NMS 2021.11	11.9	55.2	12.6	6.2	-	-	-	55.2	-
ClueNet 2022.06	11.87	-	-	-	-	-	-	47.68	30.84
RepLoss 2017.11	11.6	55.3	14.8	7	-	-	-	-	-
RepLoss 2022.10	11.6	55.3	14.8	7	-	-	-	-	-
MGAN 2021.11	11.5	-	-	-	-	-	-	51.7	-
EGCL 2021.11	11.5	51.1	11.9	6.1	-	-	-	50	27.9
HGPD 2021.11	11.3	-	-	-	-	-	-	51.7	-
R2NMS 2021.11	11.1	-	-	-	-	-	-	53.3	-
FRCN+A+DT 2021.11	11.1	44.3	11.2	6.9	-	-	-	-	-
CSP 2020.02	11	49.3	10.4	7.3	-	-	-	-	-
Case 2021.11	11	-	-	-	-	-	-	50.3	-
OR-CNN 2022.06	11	-	-	-	-	-	-	51	36.11
CSP 2022.10	11	49.3	10.4	7.3	-	-	-	-	-
CSP 2022.10	11	49.3	10.4	7.3	-	-	-	-	-
OR-CNN 2022.10	11	51.3	13.7	5.9	-	-	-	-	-
RepLoss 2017.11	10.9	52.9	13.4	6.3	-	-	-	-	-
CrowdDet+EGCL 2021.11	10.9	46.4	11.6	7.4	-	-	-	39.3	24.8
EGCL 2023.04	10.9	-	-	-	-	-	-	39.3	24.8
NOH-NMS 2021.11	10.8	53	11.2	6.6	-	-	-	-	-
Adaptive NMS 2022.10	10.8	54	11.4	6.2	-	-	-	-	-
CrowdDet 2021.11	10.7	45.8	10.7	7.3	-	-	-	38	24.3
CrowdDet 2022.10	10.7	-	-	-	-	-	-	-	-
PRNet++ 2023.04	10.7	-	-	-	-	-	-	40.9	25.4
APD 2020.02	10.6	49.8	9.5	7.1	-	-	-	-	-
Beta R-CNN 2022.10	10.6	47.1	10.3	6.4	-	-	-	-	-
Beta R-CNN 2022.10	10.6	47.1	10.3	6.4	-	-	-	-	-
MGAN 2020.02	10.5	47.2	-	-	-	-	-	-	-
CrowdDet+EGCL 2021.11	10.5	45.3	10.2	6.8	-	-	-	37.2	23.8
PSC-Net 2020.02	10.4	39.7	-	-	-	-	-	-	-
MGAN 2021.11	10.3	-	-	-	-	-	-	49.6	-
ACSP (Smooth L1) 2020.02	10	46.1	8.8	6.7	-	-	-	-	-
Beta R-CNN 2022.10	9.9	45.8	9.1	6	-	-	-	-	-
SMPD 2023.04	9.9	-	-	-	-	-	-	36.6	-
Case 2021.11	9.6	-	-	-	-	-	-	48.2	-
VLPD 2023.04	9.4	-	-	-	-	-	-	34.9	21.7
ACSP (Vanilla L1) 2020.02	9.3	46.3	8.7	5.6	-	-	-	-	-
APD 2020.02	8.8	46.6	8.3	5.8	-	-	-	-	-
FPN + NMS 2020.03	-	-	-	-	11.7	95.2	-	-	-
FPN + Soft-NMS 2020.03	-	-	-	-	11.8	95.3	-	-	-
Multiple Instance Prediction (Ours) 2020.03	-	-	-	-	10.7	96.1	-	-	-
AF-RCNN 2020.03	-	-	-	-	12.8	-	-	-	-
OR-CNN 2020.03	-	-	-	-	11	-	-	-	-
Adaptive-NMS 2020.03	-	-	-	-	10.8	-	-	-	-
FRCNN (our impl.) 2020.03	-	-	-	-	11.6	95	-	-	-
Repulsion Loss 2020.03	-	-	-	-	11.6	-	-	-	-
Baseline 2021.04	-	-	-	-	12.32	95.25	-	-	-
AF-RCNN 2021.04	-	-	-	-	12.81	-	-	-	-
OR-CNN 2021.04	-	-	-	-	11	-	-	-	-
FRCN 2021.04	-	-	-	-	11.1	-	-	-	-
Adaptive 2021.04	-	-	-	-	10.8	-	-	-	-
MGAN 2021.04	-	-	-	-	10.5	-	-	-	-
GA 2021.04	-	-	-	-	15.96	-	-	-	-

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