SOTAVerified

Crowd Counting

Crowd Counting is a task to count people in image. It is mainly used in real-life for automated public monitoring such as surveillance and traffic control. Different from object detection, Crowd Counting aims at recognizing arbitrarily sized targets in various situations including sparse and cluttering scenes at the same time.

Source: Deep Density-aware Count Regressor

Papers

Showing 211220 of 371 papers

TitleStatusHype
Enhanced Information Fusion Network for Crowd Counting0
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background0
Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network0
Crowd Counting With Partial Annotations in an ImageCode0
Towards a Universal Model for Cross-Dataset Crowd Counting0
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting0
Modeling Noisy Annotations for Crowd Counting0
A Strong Baseline for Crowd Counting and Unsupervised People Localization0
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting0
Uncertainty Estimation and Sample Selection for Crowd CountingCode0
Show:102550
← PrevPage 22 of 38Next →

No leaderboard results yet.