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Enhancing Landmark Detection in Cluttered Real-World Scenarios with Vision Transformers
Visual place recognition tasks often encounter significant challenges in landmark detection due to the presence of irrelevant objects such as humans, cars, and trees, despite the remarkable progress achieved by previous models, especially in the context of transformers.
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