WIDER Face and Pedestrian Challenge 2018: Methods and Results
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Abstract (arXiv)
This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian. The challenge focuses on the problem of precise localization of human faces and bodies, and accurate association of identities. It comprises of three tracks: (i) WIDER Face which aims at soliciting new approaches to advance the state-of-the-art in face detection, (ii) WIDER Pedestrian which aims to find effective and efficient approaches to address the problem of pedestrian detection in unconstrained environments, and (iii) WIDER Person Search which presents an exciting challenge of searching persons across 192 movies. In total, 73 teams made valid submissions to the challenge tracks. We summarize the winning solutions for all three tracks. and present discussions on open problems and potential research directions in these topics.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Feb 2019.
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Citing papers per year: 2022: 3; 2023: 5; 2024: 1; 2025: 1.
10 papers.
- 2023UniHCP: A Unified Model for Human-Centric Perceptionscited by 59
- 2023HumanBench: Towards General Human-centric Perception with Projector Assisted Pretrainingcited by 38
- 2023Hulk: A Universal Knowledge Translator for Human-Centric Taskscited by 22
- 2022Towards Domain Generalization in Object Detectioncited by 16
- 2022OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection networkcited by 13
- 2025DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenescited by 11
- 2023Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detectioncited by 10
- 2022Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyondcited by 8
- 2023Language-aware Multiple Datasets Detection Pretraining for DETRscited by 5
- 2024Robust Pedestrian Detection via Constructing Versatile Pedestrian Knowledge Bankcited by 3
- 2025DIP-R1: Deep Inspection and Perception with RL Looking Through and Understanding Complex Scenes29 May 2025
- 2024Robust Pedestrian Detection via Constructing Versatile Pedestrian Knowledge Bank30 Apr 2024
- 2023Hulk: A Universal Knowledge Translator for Human-Centric Tasks4 Dec 2023
- 2023Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection2 Nov 2023
- 2023Language-aware Multiple Datasets Detection Pretraining for DETRs7 Apr 2023
- 2023HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining10 Mar 2023
- 2023UniHCP: A Unified Model for Human-Centric Perceptions6 Mar 2023
- 2022OmDet: Large-scale vision-language multi-dataset pre-training with multimodal detection network10 Sep 2022
- 2022Towards Domain Generalization in Object Detection27 Mar 2022
- 2022Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond10 Jan 2022