Papers with Code 아카이브

Pedestrian Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 1
평가표: 9
보존된 평가 기록: 92

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.

<span style="color:grey; opacity: 0.6">( Image credit: High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/4dvlab/stcrowd

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STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

https://github.com/AIGeeksGroup/PedDet

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PedDet: Adaptive Spectral Optimization for Multimodal Pedestrian Detection

https://github.com/BubblyYi/MMPedestron

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When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset

https://github.com/CalayZhou/MBNet

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Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems

https://github.com/Chengxiao-Luo/Untargeted-Backdoor-Attack-against-Object-Detection

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Untargeted Backdoor Attack against Object Detection

https://github.com/ChenhongyiYang/SG-NMS

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Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes

https://github.com/ChuchuHan/DMRNet

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Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search

https://github.com/DenisTome/DeepPed

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Deep convolutional neural networks for pedestrian detection

https://github.com/Dingyuan-Zheng/maskPS

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Segmentation Mask Guided End-to-End Person Search

https://github.com/ErikBrorsson/MVUDA

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MVUDA: Unsupervised Domain Adaptation for Multi-view Pedestrian Detection

https://github.com/Hatmm/PED-DETR-for-Pedestrian-Detection

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DETR for Crowd Pedestrian Detection

https://github.com/HensoldtOptronicsCV/MultispectralPedestrianDetection

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Anchor-free Small-scale Multispectral Pedestrian Detection

https://github.com/IcebergKnight/NMS-Loss

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NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection

https://github.com/Jamie725/RGBT-detection

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Multimodal Object Detection via Probabilistic Ensembling

https://github.com/JialeCao001/PedSurvey

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From Handcrafted to Deep Features for Pedestrian Detection: A Survey

https://github.com/Leotju/MGAN

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Mask-Guided Attention Network for Occluded Pedestrian Detection

https://github.com/Megvii-BaseDetection/LLA

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LLA: Loss-aware Label Assignment for Dense Pedestrian Detection

https://github.com/Natlem/M-HTCN

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Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer

https://github.com/OPIXray-author/OPIXray

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Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module

https://github.com/ShuangLI59/person_search

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Joint Detection and Identification Feature Learning for Person Search

https://github.com/TencentYoutuResearch/PedestrianDetection-NohNMS

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NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination

https://github.com/VSlabRobotics/PFSD

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PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environments

https://github.com/VisualAIKHU/SAMPD

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Multispectral Pedestrian Detection with Sparsely Annotated Label

https://github.com/Zhao-Tian-yi/RSDet

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Removal then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection

https://github.com/abdulhannankhan/f2dnet

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F2DNet: Fast Focal Detection Network for Pedestrian Detection

https://github.com/airalcorn2/paved2paradise

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Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World

https://github.com/bigD233/AMFD

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AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection

https://github.com/bupt-ai-cz/LLVIP

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LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

https://github.com/byangderek/CCF

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Convolutional Channel Features

https://github.com/caiyancheng/bfda

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Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors

https://github.com/caposerenity/daps

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Domain Adaptive Person Search

https://github.com/comedialkb/learning_with_passive_optical_nonlinear_mapping

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Nonlinear optical encoding enabled by recurrent linear scattering

https://github.com/daodaofr/AlignPS

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Anchor-Free Person Search

https://github.com/devvansh1997/bgvp

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Comparison Of Deep Object Detectors On A New Vulnerable Pedestrian Dataset

https://github.com/docf/multispectral-object-detection

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Cross-Modality Fusion Transformer for Multispectral Object Detection

https://github.com/ebadi/scenariogenerator

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Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL

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