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西北工业大学 国内
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InterMamba: A Visual-Prompted Interactive Framework for Dense Object Detection and Annotation
Shanji Liu, Zhigang Yang, Qiang Li,
Qi Wang
光电与智能研究院
Northwestern Polytechnical University Xian
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探究 'InterMamba: A Visual-Prompted Interactive Framework for Dense Object Detection and Annotation' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Annotation
100%
Computational Complexity
16%
Detection Accuracy
16%
Detection Method
16%
Detection Result
16%
Feature Fusion
33%
Feature Space
33%
Mean Average Precision
16%
Memory Consumption
16%
Object Detection
100%
Remote Sensing Image
16%
remote sensing imagery
16%
Robust Solution
16%
Semantic Relationship
16%
User Interaction
16%
Earth and Planetary Sciences
Detection Method
25%
Remote Sensing
100%