Browse State-of-the-Art › Pedestrian Detection
Pedestrian Detection
132 papers with code · 9 benchmarks · 17 datasets archive 2025-07-28
Pedestrian detection is the task of detecting pedestrians from a camera.
Further state-of-the-art results (e.g. on the KITTI dataset) can be found at 3D Object Detection.
( Image credit: High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection )
Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.
Benchmarks archive 2025-07-28
9 leaderboard tables shown for this task, 9 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
17 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 132 papers with code (438 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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8 Apr 2018 311 repositories listed Syntology ran 18 of 124 samples · 106 unverified · 19 pointer-only (licence)At 320x320 YOLOv3 runs in 22 ms at 28.
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7 Aug 2017 234 repositories listed Syntology ran 11 of 11 samples · 0 unverified · 6 pointer-only (licence)Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training.
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2 Apr 2019 87 repositories listed Syntology ran 13 of 40 samples · 27 unverified · 18 pointer-only (licence)By eliminating the predefined set of anchor boxes, FCOS completely avoids the complicated computation related to anchor boxes such as calculating overlapping during training.
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9 Dec 2016 85 repositories listed Syntology ran 16 of 51 samples · 35 unverified · 11 pointer-only (licence)Feature pyramids are a basic component in recognition systems for detecting objects at different scales.
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6 Jul 2022 21 repositories listed Syntology ran 1 of 11 samples · 10 unverifiedYOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.
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7 Sep 2022 7 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)The YOLO community has prospered overwhelmingly to enrich its use in a multitude of hardware platforms and abundant scenarios.
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30 Sep 2015 5 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedThe algorithms compute minimal complexity convolution over small tiles, which makes them fast with small filters and small batch sizes.
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30 Mar 2023 4 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 1 pointer-only (licence)Unlike the existing self-supervised learning methods, prior knowledge from human images is utilized in SOLIDER to build pseudo semantic labels and import more semantic information into the learned representation.
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3 Apr 2022 4 repositories listedIn addition, considering the property of sparse global distribution and density-varying local distribution of pedestrians, we further propose a novel method, Density-aware Hierarchical heatmap Aggregation (DHA), to…
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19 Jun 2021 3 repositories listedThis paper inventively considers weakly supervised person search with only bounding box annotations.
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7 Apr 2021 3 repositories listed Syntology ran 8 of 11 samples · 3 unverified · 8 pointer-only (licence)Object detection with multimodal inputs can improve many safety-critical systems such as autonomous vehicles (AVs).
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14 Jul 2020 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)First, how should we aggregate cues from the multiple views?
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20 Mar 2020 3 repositories listed Syntology ran 0 of 10 samples · 10 unverifiedWe propose a simple yet effective proposal-based object detector, aiming at detecting highly-overlapped instances in crowded scenes.
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14 Oct 2019 3 repositories listedOur approach obtains an absolute gain of 9.
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4 Dec 2023 2 repositories listed Syntology ran 12 of 24 samples · 12 unverifiedHuman-centric perception tasks, e.
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5 Aug 2023 2 repositories listedThis paper conducts fairness testing of automated pedestrian detection, a crucial but under-explored issue in autonomous driving systems.
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29 Apr 2023 2 repositories listedWe present a sample dataset featuring pedestrians generated using the ARCANE framework, a new framework for generating datasets in CARLA (0.
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12 Dec 2022 2 repositories listedYOLOX consistently outperforms all other detectors on the mAP (0.
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25 Jul 2022 2 repositories listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)In this paper, we take a further step and present Domain Adaptive Person Search (DAPS), which aims to generalize the model from a labeled source domain to the unlabeled target domain.
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10 May 2022 2 repositories listedRetinaNet has the lowest overall detection performance across the range of occlusion levels.
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4 Mar 2022 2 repositories listedHowever, the current two-stage detectors are inefficient as they do bounding box regression in multiple steps i.
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17 Jan 2022 2 repositories listedTo avoid the usage of fixed distances, we leverage the connectivity of Graph Neural Networks, previously unused in this scope, using a Message Passing Network to jointly learn features and similarity.
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10 Jan 2022 2 repositories listedAs for the data, we show that the autonomous driving benchmarks are monotonous in nature, that is, they are not diverse in scenarios and dense in pedestrians.
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13 Dec 2021 2 repositories listedIn LiDAR-based 3D object detection for autonomous driving, the ratio of the object size to input scene size is significantly smaller compared to 2D detection cases.
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1 Oct 2020 2 repositories listedIn addition to single-spectral pedestrian detection, we also review multi-spectral pedestrian detection, which provides more robust features for illumination variance.
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7 Aug 2020 2 repositories listedCompared with traditional pedestrian detection, we find multispectral pedestrian detection suffers from modality imbalance problems which will hinder the optimization process of dual-modality network and depress the…
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18 Apr 2020 2 repositories listedFurthermore, to deal with the occlusion in X-ray images detection, we propose the De-occlusion Attention Module (DOAM), a plug-and-play module that can be easily inserted into and thus promote most popular detectors.
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5 Apr 2019 2 repositories listedLike edges, corners, blobs and other feature detectors, the proposed detector scans for feature points all over the image, for which the convolution is naturally suited.
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5 Apr 2018 2 repositories listedThe results show that our framework can smoothly synthesize pedestrians on background images of variations and different levels of details.
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21 Nov 2017 2 repositories listedIn this paper, we first explore how a state-of-the-art pedestrian detector is harmed by crowd occlusion via experimentation, providing insights into the crowd occlusion problem.
Syntology lines on 13 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections