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 5160 of 371 papers

TitleStatusHype
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
Distribution Matching for Crowd CountingCode1
DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd CountingCode1
CCTrans: Simplifying and Improving Crowd Counting with TransformerCode1
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory SignalCode1
CLIP-Count: Towards Text-Guided Zero-Shot Object CountingCode1
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme ConditionsCode1
Deep learning with self-supervision and uncertainty regularization to count fish in underwater imagesCode1
Completely Self-Supervised Crowd Counting via Distribution MatchingCode1
Domain-General Crowd Counting in Unseen ScenariosCode1
Show:102550
← PrevPage 6 of 38Next →

No leaderboard results yet.