🕶 A curated list of Tiny Object Detection papers and related resources.
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Updated
Oct 4, 2023
🕶 A curated list of Tiny Object Detection papers and related resources.
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
From Handcrafted to Deep Features for Pedestrian Detection: A Survey (TPAMI 2021)
Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset
Deep learning based object tracking with line crossing and area intrusion detection
A newly built high-resolution dataset for object detection and pedestrian detection (IEEE TIP 2020)
Pedestrians detection and tracking using OpenCV on Python
SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.
A PyTorch Detectron codebase for domain adaptation of object detectors.
Unofficially Pytorch implementation of High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
deep learning person search in PyTorch.
A Vision-based Social Distancing and Critical Density Detection System for COVID-19
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
Mobilenet SSD based pedestrian detection
一种基于YOLOv3/4的双流混合模态道路行人检测方法🌊💧💦。
detect the no of people every second entering building gate. #person-detection
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