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 3140 of 371 papers

TitleStatusHype
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networksCode1
Progressive Multi-resolution Loss for Crowd CountingCode1
Domain-General Crowd Counting in Unseen ScenariosCode1
Spatio-channel Attention Blocks for Cross-modal Crowd CountingCode1
Semi-supervised Crowd Counting via Density AgencyCode1
Redesigning Multi-Scale Neural Network for Crowd CountingCode1
Backdoor Attacks on Crowd CountingCode1
Rethinking Spatial Invariance of Convolutional Networks for Object CountingCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
Show:102550
← PrevPage 4 of 38Next →

No leaderboard results yet.