Crowd Counting
13개 벤치마크 · 논문 404편 · 이 태스크의 논문 보기 →
Benchmarks
ShanghaiTech A
ShanghaiTech B
UCF-QNRF
UCF CC 50
WorldExpo’10
NWPU-Crowd (Val)
DLR-ACD
Venice
TRANCOS
JHU-CROWD++
UP-COUNT
DroneRGBT
NWPU-Crowd
Most implemented
Densely Connected Convolutional Networks
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
Papers
Validated Adaptation for Aerial Crowd Monitoring at Mass Gathering Scale: A Deployment Protocol, a Severity Law, and a Diagnostic for Label-Free Drone Crowd Counting, Toward the FIFA World Cup 2034 (Saudi Arabia)
Saudi Arabia will host the 2034 FIFA World Cup and already operates crowd management at Hajj scale. Drone-based counting must hold accuracy on footage unlike anything in its training corpus, without labels, and must warn…
Crowd CountingHAJJv2-CrowdCount: Zero-Shot Benchmark for Dense Crowd Counting
Automated crowd counting in Hajj video is difficult not because current models lack capacity, but because the footage violates the assumptions those models were built on: cameras observe the crowd from steep, near-vertic…
Crowd CountingABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation
ABACUS is a unified vision-language model that handles object counting, crowd counting, referring-expression counting, and count-faithful image generation without any benchmark-specific training required. Our model is bu…
Object LocalizationImage GenerationObject CountingCrowd CountingMulti-Modal Hyper-Graph Fusion for Low-Light Crowd Counting
Crowd counting is a fundamental task in computer vision. However, crowd counting in low-light environments remains largely underexplored, despite its practical importance in the real world. Existing methods mainly focus …
Crowd CountingA Benchmark for Semi-supervised Multi-modal Crowd Counting
This paper constructs the first benchmark on semi-supervised multi-modal crowd counting. To lay the foundation for this unexplored task, we first formulate the semi-supervised multi-modal setting and a standardized proto…
Crowd CountingCounting Machine Parts
Counting objects in an image is a task applicable across many domains. For instance, crowd counting, inventory counting, and cell counting have been the focus of recent research. The major challenges in estimating the co…
Instance SegmentationCrowd Counting