Human Detection
82 papers with code • 0 benchmarks • 12 datasets
Benchmarks
These leaderboards are used to track progress in Human Detection
Libraries
Use these libraries to find Human Detection models and implementationsDatasets
UCF-CC-50
JRDB
TinyPerson
MIAP
PTB-TIR
PP-HumanSeg14K
TikTok Dataset
PeopleSansPeople
Latest papers with no code
Unsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment
Specifically, to address the first challenge, we propose a pseudo-label correction strategy that utilizes a Beta Mixture Model to predict the probability of mis-clustering based network's memory effect and rectifies the correspondence by adding a perceptual term to contrastive learning.
Human Detection from 4D Radar Data in Low-Visibility Field Conditions
The CNN is trained to distinguish between the background and person classes based on a series of 2D projections of the 4D radar data that include the elevation, azimuth, range, and Doppler velocity dimensions.
Fakes of Varying Shades: How Warning Affects Human Perception and Engagement Regarding LLM Hallucinations
This research aims to understand the human perception of LLM hallucinations by systematically varying the degree of hallucination (genuine, minor hallucination, major hallucination) and examining its interaction with warning (i. e., a warning of potential inaccuracies: absent vs. present).
Leveraging YOLO-World and GPT-4V LMMs for Zero-Shot Person Detection and Action Recognition in Drone Imagery
In this article, we explore the potential of zero-shot Large Multimodal Models (LMMs) in the domain of drone perception.
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
Multi-target multi-camera tracking is a crucial task that involves identifying and tracking individuals over time using video streams from multiple cameras.
AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
Expressive human pose and shape estimation (a. k. a.
As Good As A Coin Toss: Human detection of AI-generated images, videos, audio, and audiovisual stimuli
We find that overall, participants struggled to meaningfully discern between synthetic and authentic content.
Human Detection in Realistic Through-the-Wall Environments using Raw Radar ADC Data and Parametric Neural Networks
The radar signal processing algorithm is one of the core components in through-wall radar human detection technology.
A Survey of Application of Machine Learning in Wireless Indoor Positioning Systems
Numerous attempts have been made in the literature to develop efficient indoor positioning systems (IPSs), with a growing focus on machine learning (ML) based techniques.
AN An ica-ensemble learning approach for prediction of uwb nlos signals data classification
However, accurate identification of trapped individuals is hindered by the curse of dimensionality and noisy data.
