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 61–70 of 371 papers

TitleStatusHype
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural NetworksCode1
DR.VIC: Decomposition and Reasoning for Video Individual CountingCode1
Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark MethodCode1
Crowd Counting in the Frequency DomainCode1
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary TransformerCode1
Congested Crowd Instance Localization with Dilated Convolutional Swin TransformerCode1
Counting People by Estimating People FlowsCode1
Cross-head Supervision for Crowd Counting with Noisy AnnotationsCode1
Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd CountingCode1
Few-Shot Scene Adaptive Crowd Counting Using Meta-LearningCode1
Show:102550
← PrevPage 7 of 38Next →

No leaderboard results yet.