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 131–140 of 371 papers

TitleStatusHype
Crowd Counting using Deep Recurrent Spatial-Aware Network—0
Crowd Counting Through Walls Using WiFi—0
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting—0
Bound Tightening Network for Robust Crowd Counting—0
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training—0
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining—0
Embodied Crowd Counting—0
Enhanced 3D convolutional networks for crowd counting—0
Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs—0
Crowd Counting Considering Network Flow Constraints in Videos—0
Show:102550
← PrevPage 14 of 38Next →

No leaderboard results yet.