【科研】行人检测 | Pedestrian Detection历年论文及项目总结
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一、相关科研工作者
Piotr Dollár
张姗姗
欧阳万里
二、历年优秀论文
[CVPR-2019] High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection
[CVPR-2019] SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
[CVPR-2019] Pedestrian Detection in Thermal Images using Saliency Maps
[TIP-2018] Too Far to See? Not Really:- Pedestrian Detection with Scale-Aware Localization Policy
[ECCV-2018] Bi-box Regression for Pedestrian Detection and Occlusion Estimation
[ECCV-2018] Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting
[ECCV-2018] Graininess-Aware Deep Feature Learning for Pedestrian Detection
[ECCV-2018] Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
[ECCV-2018] Small-scale Pedestrian Detection Based on Somatic Topology Localization and Temporal Feature Aggregation
[CVPR-2018] Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors
[CVPR-2018] Occluded Pedestrian Detection Through Guided Attention in CNNs
[CVPR-2018] Repulsion Loss: Detecting Pedestrians in a Crowd
[TCSVT-2018] Pushing the Limits of Deep CNNs for Pedestrian Detection
[Trans Multimedia-2018] Scale-aware Fast R-CNN for Pedestrian Detection
[TPAMI-2017] Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection
[BMVC-2017] PCN: Part and Context Information for Pedestrian Detection with CNNs
[CVPR-2017] CityPersons: A Diverse Dataset for Pedestrian Detection
[CVPR-2017] Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
[CVPR-2017] What Can Help Pedestrian Detection?
[ICCV-2017] Multi-label Learning of Part Detectors for Heavily Occluded Pedestrian Detection
[ICCV-2017] Illuminating Pedestrians via Simultaneous Detection & Segmentation
[TPAMI-2017] Towards Reaching Human Performance in Pedestrian Detection
[Transactions on Multimedia-2017] Scale-Aware Fast R-CNN for Pedestrian Detection
[CVPR-2016] Semantic Channels for Fast Pedestrian Detection
[CVPR-2016] How Far are We from Solving Pedestrian Detection?
![CVPR-2016] Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
![CVPR-2016] Semantic Channels for Fast Pedestrian Detection
![ECCV-2016] Is Faster R-CNN Doing Well for Pedestrian Detection?
[CVPR-2015] Taking a Deeper Look at Pedestrians
![ICCV-2015] Learning Complexity-Aware Cascades for Deep Pedestrian Detection
[ICCV-2015] Deep Learning Strong Parts for Pedestrian Detection
![ECCV-2014] Deep Learning of Scene-specific Classifier for Pedestrian Detection
[CVPR-2013] Joint Deep Learning for Pedestrian Detection
[CVPR-2012] A Discriminative Deep Model for Pedestrian Detection with Occlusion Handling
[CVPR-2010] Multi-Cue Pedestrian Classification With Partial Occlusion Handling
[CVPR-2009] Pedestrian detection: A benchmark
[CVPR-2008] People-Tracking-by-Detection and People-Detection-by-Tracking
[ECCV-2006] Human Detection Using Oriented Histograms of Flow and Appearance
[CVPR-2005] Histograms of Oriented Gradients for Human Detection
三、行人检测开源代码
[CVPR-2019]High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection
paper: https://arxiv.org/abs/1904.02948
code: https://github.com/liuwei16/CSP
[CVPR-2018]Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors
paper: http://vision.snu.ac.kr/projects/partgridnet/data/noh_2018.pdf
project: http://vision.snu.ac.kr/projects/partgridnet/
[ICCV-2017]Illuminating Pedestrians via Simultaneous Detection & Segmentation
paper: https://arxiv.org/abs/1706.08564
project : http://cvlab.cse.msu.edu/project-pedestrian-detection.html
code: https://github.com/garrickbrazil/SDS-RCNN
[CVPR-2018] Repulsion Loss: DetectingPedestrians in a Crowd
paper:http://arxiv.org/abs/1711.07752
code:https://github.com/rainofmine/Repulsion_Loss
四、行人检测数据集
3. KITTI
http://www.cvlibs.net/datasets/kitti/
4. EuroCity
https://eurocity-dataset.tudelft.nl/eval/overview/statistics
5. CrowdHuman
http://www.crowdhuman.org
五、主流算法性能
最后，祝大家炼丹愉快，科研顺利~~