الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Crowd Counting On Worldexpo10

المقاييس

Average MAE

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Average MAE	Paper Title	Repository
IG-CNN	11.3	Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN	-
SANet	8.2	Scale Aggregation Network for Accurate and Efficient Crowd Counting
SPANet	7.7	Learning Spatial Awareness to Improve Crowd Counting	-
MCNN	11.6	Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
DecideNet	9.23	DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
CAN	7.4	Context-Aware Crowd Counting
Switch-CNN	9.4	Switching Convolutional Neural Network for Crowd Counting
M-SFANet	7.32	Encoder-Decoder Based Convolutional Neural Networks with Multi-Scale-Aware Modules for Crowd Counting
CP-CNN	8.9	Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs	-
ACSCP	7.5	Crowd Counting via Adversarial Cross-Scale Consistency Pursuit
Zhang et al.	12.9	Cross-Scene Crowd Counting via Deep Convolutional Neural Networks	-
D-ConvNet	9.1	Crowd Counting With Deep Negative Correlation Learning	-
CSRNet	8.6	CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
ECAN	7.2	Context-Aware Crowd Counting
ic-CNN	10.3	Iterative Crowd Counting	-

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