Collection of online resources about pedestrian.
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Pedestrian Detection
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Some SOTAs
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Pedestrian Attribute
- Detection(Crowd Detection)
- mAP
- MR (Reasonable)
- MR (Reasonable_small)
- MR (Reasonable_occ=heavy)
- MR (All)
- MMDetection
- maskrcnn-benchmark
- CSP CVPR19: pytorch keras
- Bi-box_Regression ECCV18
- ALFNet ECCV18
- Repulsion_Loss CVPR18
- SDS-RCNN ICCV17
- Pedestrian-Detection
- awesome-pedestrian-detection
- Pedestrian-Attribute-Recognition-Paper-List
- human_papernotes
- Pedestrian Detection With Autoregressive Network Phases[code]
- High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection [code]
- Adaptive NMS: Refining Pedestrian Detection in a Crowd
- Occlusion-aware R-CNN:Detecting Pedestrians in a Crowd
- Bi-box Regression for Pedestrian Detection and Occlusion Estimation
- Graininess-Aware Deep Feature Learning for Pedestrian Detection
- Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation
- Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting[code]
- Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors
- Occluded Pedestrian Detection Through Guided Attention in CNNs
- Repulsion Loss: Detecting Pedestrians in a Crowd
- WILDTRACK: A Multi-Camera HD Dataset for Dense Unscripted Pedestrian Detection
- Multi-label Learning of Part Detectors for Heavily Occluded Pedestrian Detection
- Illuminating Pedestrians via Simultaneous Detection & Segmentation
- CityPersons: A Diverse Dataset for Pedestrian Detection
- Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
- What Can Help Pedestrian Detection?
- Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model
- Expecting the Unexpected:Training Detectors for Unusual Pedestrians with Adversarial Imposters
- Semantic Channels for Fast Pedestrian Detection
- How Far are We from Solving Pedestrian Detection?
- Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
- Pedestrian Detection in Thermal Images using Saliency Maps - CVPR Workshop
- SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
- Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks
- Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection
- The Cross-Modality Disparity Problem in Multispectral Pedestrian Detection
- GFD-SSD: Gated Fusion Double SSD for Multispectral Pedestrian Detection
- WIDER Face and Pedestrian Challenge 2018: Methods and Results
- Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection
- FPN++: A Simple Baseline for Pedestrian Detection - ICME 2019
- Learning Pixel-Level and Instance-Level Context-Aware Features for Pedestrian Detection in Crowds
- Deep Feature Fusion by Competitive Attention for Pedestrian Detection
- See Extensively While Focusing on the Core Area for Pedestrian Detection
- Single Shot Multibox Detector With Kalman Filter for Online Pedestrian Detection in Video
- Convolutional Neural Networks for Aerial Multi-Label PedestrianDetection
- Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment
- Pedestrian Detection with Autoregressive Network Phases
- Part-Level Convolutional Neural Networks for Pedestrian Detection Using Saliency and Boundary Box Alignment - ICASSP [code]
- Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation - BMVC 2018 [code]
- Disparity Sliding Window: Object Proposals from Disparity Images - IROS 2018[code]
- An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles
- Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy
- SAM-RCNN: Scale-Aware Multi-Resolution Multi-Channel Pedestrian Detection
- A Content-Based Late Fusion Approach Applied to Pedestrian Detection
- Fused Deep Neural Networks for Efficient Pedestrian Detection
- PCN: Part and Context Information for Pedestrian Detection with CNN - BMVC 2017
- Exploring Multi-Branch and High-Level Semantic Networks for Improving Pedestrian Detection
- Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection - PR
- Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection
- Aggregated Channels Network for Real-Time Pedestrian Detection
- ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection - ACML 2018
- Scene-Specific Pedestrian Detection Based on Parallel Vision
- Too Far to See? Not Really! --- Pedestrian Detection with Scale-aware Localization Policy - TIM 2017
- Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
- MixedPeds: Pedestrian Detection in Unannotated Videos using Synthetically Generated Human-agents for Training
- Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset