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Efficient Unknown Object Detection with Discrepancy Networks for Semantic Segmentation
Detecting unknown objects such as lost cargo is essential for improving the safety of self-driving cars. This is the first work …
Ryo Kamoi, Takumi Iida, Kaname Tomite
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Out-of-Distribution Detection with Likelihoods Assigned by Deep Generative Models Using Multimodal Prior Distributions
Ryo Kamoi, Kei Kobayashi
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