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( * This version is only for anonymous review, we release the whole dataset.)
we collect an unlabeled dataset encompassing both indoor and outdoor scenes. This dataset enhances our benchmark by enriching the validation for DAM under diverse scenes and is utilized to train our Any360D. The collected dataset features a comprehensive array of scenes at the campus level. To ensure privacy, we anonymize the footage by blurring identifiable faces.
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