Human Detection

82 papers with code • 0 benchmarks • 13 datasets

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Use these libraries to find Human Detection models and implementations

Most implemented papers

Scale Match for Tiny Person Detection

ucas-vg/TinyBenchmark 23 Dec 2019

In this paper, we introduce a new benchmark, referred to as TinyPerson, opening up a promising directionfor tiny object detection in a long distance and with mas-sive backgrounds.

DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data

VisualComputingInstitute/DR-SPAAM-Detector 29 Apr 2020

Detecting persons using a 2D LiDAR is a challenging task due to the low information content of 2D range data.

Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques

suyash16999/Social-Distance-Monitoring 4 May 2020

From the experimental analysis, it is observed that the YOLO v3 with Deepsort tracking scheme displayed best results with balanced mAP and FPS score to monitor the social distancing in real-time.

DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera

lehommee/DPDnet-A-robust-people-detector-using-deep-learning-with-an-overhead-depth-camera 1 Jun 2020

In this paper we propose a method based on deep learning that detects multiple people from a single overhead depth image with high reliability.

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text

kirubarajan/roft EMNLP 2020

In recent years, large neural networks for natural language generation (NLG) have made leaps and bounds in their ability to generate fluent text.

SSPNet: Scale Selection Pyramid Network for Tiny Person Detection from UAV Images

MingboHong/SSPNet 4 Jul 2021

With the increasing demand for search and rescue, it is highly demanded to detect objects of interest in large-scale images captured by Unmanned Aerial Vehicles (UAVs), which is quite challenging due to extremely small scales of objects.

Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?

huashen218/llm-deepfake-human-study 3 Apr 2023

Advances in Large Language Models (e. g., GPT-4, LLaMA) have improved the generation of coherent sentences resembling human writing on a large scale, resulting in the creation of so-called deepfake texts.

Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation

michel-liu/grouppose ICCV 2023

State-of-the-art solutions adopt the DETR-like framework, and mainly develop the complex decoder, e. g., regarding pose estimation as keypoint box detection and combining with human detection in ED-Pose, hierarchically predicting with pose decoder and joint (keypoint) decoder in PETR.

Context-aware CNNs for person head detection

aosokin/cnn_head_detection ICCV 2015

First, we leverage person-scene relations and propose a Global CNN model trained to predict positions and scales of heads directly from the full image.

Interspecies Knowledge Transfer for Facial Keypoint Detection

menoRashid/animal_human_kp CVPR 2017

Instead of directly finetuning a network trained to detect keypoints on human faces to animal faces (which is sub-optimal since human and animal faces can look quite different), we propose to first adapt the animal images to the pre-trained human detection network by correcting for the differences in animal and human face shape.