Pedestrian Attribute Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 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

9 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 35 papers with code (56 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.

• Densely Connected Convolutional Networks
  25 Aug 2016 146 repositories listed Syntology ran 18 of 71 samples · 53 unverified · 7 pointer-only (licence)
  Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output.
• Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
  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.
• Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition
  27 Apr 2024 3 repositories listed
  Specifically, we formulate the video-based PAR as a vision-language fusion problem and adopt a pre-trained foundation model CLIP to extract the visual features.
• A Richly Annotated Dataset for Pedestrian Attribute Recognition
  23 Mar 2016 3 repositories listed
  RAP has in total 41, 585 pedestrian samples, each of which is annotated with 72 attributes as well as viewpoints, occlusions, body parts information.
• Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition
  29 May 2025 2 repositories listed
  To bridge this gap, this paper proposes the first adversarial attack and defense framework for pedestrian attribute recognition.
• Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework
  19 Aug 2024 2 repositories listed
  To address this issue, this paper proposes a new large-scale, cross-domain pedestrian attribute recognition dataset to fill the data gap, termed MSP60K.
• Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion
  17 Dec 2023 2 repositories listed
  In this paper, we formulate PAR as a vision-language fusion problem and fully exploit the relations between pedestrian images and attribute labels.
• Hulk: A Universal Knowledge Translator for Human-Centric Tasks
  4 Dec 2023 2 repositories listed Syntology ran 12 of 24 samples · 12 unverified
  Human-centric perception tasks, e.
• SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm
  4 Dec 2023 2 repositories listed
  Then, a Transformer decoder is proposed to generate the human attributes by incorporating the visual features and attribute query tokens.
• A Solution to Co-occurrence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition
  28 Jul 2023 2 repositories listed
  Recent studies on pedestrian attribute recognition progress with either explicit or implicit modeling of the co-occurrence among attributes.
• YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition
  14 Jul 2021 2 repositories listed
  To overcome these limitations, we: 1) present frontal and wild face versions of three well-known surveillance datasets; and 2) propose YinYang-Net (YY-Net), a model that effectively and dynamically complements facial…
• UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles
  2 Apr 2021 2 repositories listed Syntology ran 3 of 5 samples · 2 unverified
  Human behavior understanding with unmanned aerial vehicles (UAVs) is of great significance for a wide range of applications, which simultaneously brings an urgent demand of large, challenging, and comprehensive…
• Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method
  25 May 2020 2 repositories listed
  Despite various methods are proposed to make progress in pedestrian attribute recognition, a crucial problem on existing datasets is often neglected, namely, a large number of identical pedestrian identities in train…
• Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization
  10 Oct 2019 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  To predict the existence of a particular attribute, it is demanded to localize the regions related to the attribute.
• HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
  28 Sep 2017 2 repositories listed
  Pedestrian analysis plays a vital role in intelligent video surveillance and is a key component for security-centric computer vision systems.
• ViTA-PAR: Visual and Textual Attribute Alignment with Attribute Prompting for Pedestrian Attribute Recognition
  2 Jun 2025 1 repository listed
  To enhance PAR performance, a model must capture features ranging from coarse-grained global attributes (e.
• RGB-Event based Pedestrian Attribute Recognition: A Benchmark Dataset and An Asymmetric RWKV Fusion Framework
  14 Apr 2025 1 repository listed
  In this paper, we revisit these issues and propose a novel multi-modal RGB-Event attribute recognition task by drawing inspiration from the advantages of event cameras in low-light, high-speed, and low-power consumption.
• SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
  10 Oct 2024 1 repository listed
  To address this issue, in this paper, we propose a Spiking Neural Network (SNN) based framework for energy-efficient attribute recognition.
• An Empirical Study of Mamba-based Pedestrian Attribute Recognition
  15 Jul 2024 1 repository listed
  To further tap into the potential of the novel Mamba architecture for PAR tasks, this paper designs and adapts Mamba into two typical PAR frameworks, i.
• Pedestrian Attribute Recognition as Label-balanced Multi-label Learning
  8 May 2024 1 repository listed
  Rooting in the scarcity of most attributes, realistic pedestrian attribute datasets exhibit unduly skewed data distribution, from which two types of model failures are delivered: (1) label imbalance: model predictions…
• C2T-Net: Channel-Aware Cross-Fused Transformer-Style Networks for Pedestrian Attribute Recognition
  26 Dec 2023 1 repository listed
  Our performance on the PETA dataset remains competitive, standing on par with other cutting-edge models.
• SSPNet: Scale and Spatial Priors Guided Generalizable and Interpretable Pedestrian Attribute Recognition
  11 Dec 2023 1 repository listed
  The AFSS module learns to provide reasonable scale prior information for different attribute groups, allowing the model to focus on different levels of feature maps with varying semantic granularity.
• HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
  31 Oct 2023 1 repository listed Syntology ran 3 of 6 samples · 3 unverified · 6 pointer-only (licence)
  To further capture human characteristics, we propose a structure-invariant alignment loss that enforces different masked views, guided by the human part prior, to be closely aligned for the same image.
• Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
  5 Jun 2023 1 repository listed Syntology ran 6 of 12 samples · 6 unverified
  To verify the feasibility of learning from the generated data, we develop a new joint Attribute Prompt Learning and Text Matching Learning (APTM) framework, considering the shared knowledge between attribute and text.
• PLIP: Language-Image Pre-training for Person Representation Learning
  15 May 2023 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  To address this issue, we propose a novel language-image pre-training framework for person representation learning, termed PLIP.
• Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestrian Attribute Recognition
  20 Apr 2023 1 repository listed
  The averaged visual tokens and text tokens are concatenated and fed into a fusion Transformer for multi-modal interactive learning.
• PARFormer: Transformer-based Multi-Task Network for Pedestrian Attribute Recognition
  14 Apr 2023 1 repository listed
  Pedestrian attribute recognition (PAR) has received increasing attention because of its wide application in video surveillance and pedestrian analysis.
• POAR: Towards Open Vocabulary Pedestrian Attribute Recognition
  26 Mar 2023 1 repository listed
  Our key idea is to formulate the POAR problem as an image-text search problem.
• HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
  10 Mar 2023 1 repository listed Syntology ran 15 of 25 samples · 10 unverified
  Specifically, we propose a \textbf{HumanBench} based on existing datasets to comprehensively evaluate on the common ground the generalization abilities of different pretraining methods on 19 datasets from 6 diverse…
• UniHCP: A Unified Model for Human-Centric Perceptions
  6 Mar 2023 1 repository listed Syntology ran 7 of 13 samples · 6 unverified
  When adapted to a specific task, UniHCP achieves new SOTAs on a wide range of human-centric tasks, e.

Syntology lines on 10 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.