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Found 3 papers, 1 papers with code
An Information Theoretic Metric for Evaluating Unlearning Models
The IDI provides a comprehensive evaluation of MU methods by efficiently analyzing the internal structure of DNNs.
MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection
Multispectral pedestrian detection is attractive for around-the-clock applications due to the complementary information between RGB and thermal modalities.
Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection
As a result, multispectral pedestrian detectors show poor generalization ability on examples beyond this statistical correlation, such as ROTX data.
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