.png){kind=icon}
Return
Dynamic example network for class-agnostic object counting
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patcog.2025.111998.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• We introduce a Dynamic Example Network (DEN) to address the issue of example appearance scarcity in the Class-agnostic counting task. • We design a negative example mining strategy to identify informative negative examples.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W
Organization
No organization information available
Cited Papers
ShareSave
ShareSaveMulti-task semi-supervised crowd counting via global to local self-correction.png)
PATTERN RECOGNITION
PATTERN RECOGNITIONIF7.6
PREAI
ShareSave
CSTrans: Correlation-guided Self-Activation Transformer for Counting EverythingPATTERN RECOGNITION
PATTERN RECOGNITIONIF7.6
PREAI
ShareSave
View more