🕶 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
Pedestrians detection and tracking using OpenCV on Python
The code of the Object Counting API, implemented with the YOLO algorithm and with the SORT algorithm
Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset
Deep learning based object tracking with line crossing and area intrusion detection
SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.
From Handcrafted to Deep Features for Pedestrian Detection: A Survey (TPAMI 2021)
Unofficially Pytorch implementation of High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection
A Vision-based Social Distancing and Critical Density Detection System for COVID-19
Detects Pedestrians in images using HOG as a feature extractor and SVM for classification
detect the no of people every second entering building gate. #person-detection
deep learning person search in PyTorch.
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
A PyTorch Detectron codebase for domain adaptation of object detectors.
Faster R-CNN for pedestrian detection
Mobilenet SSD based pedestrian detection
pedestrian detection in hazy weather
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