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Found 4 papers, 1 papers with code
Activate and Reject: Towards Safe Domain Generalization under Category Shift
Albeit the notable performance on in-domain test points, it is non-trivial for deep neural networks to attain satisfactory accuracy when deploying in the open world, where novel domains and object classes often occur.
Non-Parametric Outlier Synthesis
Importantly, our proposed synthesis approach does not make any distributional assumption on the ID embeddings, thereby offering strong flexibility and generality.
Pyramid Feature Alignment Network for Video Deblurring
To better handle the challenges of complex and large motions, instead of aligning features at each scale separately, lower-scale motion information is used to guide the higher-scale motion estimation.
Predicate correlation learning for scene graph generation
For a typical Scene Graph Generation (SGG) method, there is often a large gap in the performance of the predicates' head classes and tail classes.
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