The paper creates a real-world corruption benchmark for promptable video object segmentation and proposes MoGA, which uses object-specific memory to improve robustness and temporal consistency under adverse conditions.
ACDC: The adverse condi- tions dataset with correspondences for robust semantic driv- ing scene perception.IEEE Transactions on Pattern Analysis and Machine Intelligence
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Robust Promptable Video Object Segmentation
The paper creates a real-world corruption benchmark for promptable video object segmentation and proposes MoGA, which uses object-specific memory to improve robustness and temporal consistency under adverse conditions.