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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–225 of 371 papers

TitleStatusHype
Multi-Level Attentive Convoluntional Neural Network for Crowd Counting—0
Rethinking Global Context in Crowd Counting—0
Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification—0
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead—0
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting—0
Towards Adversarial Patch Analysis and Certified Defense against Crowd CountingCode0
Multi-Scale Context Aggregation Network with Attention-Guided for Crowd CountingCode0
Multi-channel Deep Supervision for Crowd Counting—0
Weight Rescaling: Effective and Robust Regularization for Deep Neural Networks with Batch Normalization—0
Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd EstimationCode0
Enhanced Information Fusion Network for Crowd Counting—0
Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background—0
Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network—0
Crowd Counting With Partial Annotations in an ImageCode0
Towards a Universal Model for Cross-Dataset Crowd Counting—0
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting—0
Modeling Noisy Annotations for Crowd Counting—0
A Strong Baseline for Crowd Counting and Unsupervised People Localization—0
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting—0
Uncertainty Estimation and Sample Selection for Crowd CountingCode0
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View—0
A Study of Human Gaze Behavior During Visual Crowd Counting—0
Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer—0
SOFA-Net: Second-Order and First-order Attention Network for Crowd Counting—0
Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations—0
Show:102550
← PrevPage 9 of 15Next →

No leaderboard results yet.