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Sep, 2023
张量分解用于数据受限红外物体检测中的跨模态知识利用
Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection
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Manish Sharma, Moitreya Chatterjee, Kuan-Chuan Peng, Suhas Lohit, Michael Jones
TL;DR
通过从RGB模态中获取线索来扩展红外模态中的物体检测器,该方法利用了一种名为TensorFact的新型张量分解方法,通过预训练因子矩阵,进一步优化在FLIR ADAS v1数据集上的性能。
Abstract
The primary bottleneck towards obtaining good recognition performance in
ir images
is the lack of sufficient labeled training data, owing to the cost of acquiring such data. Realizing that
object detection
method
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