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D consistency loss. As a result, each mini-batch conveys a rich mixture of complementary signals: dense
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WalkOCC achieves superior sidewalk occupancy prediction by leveraging unpaired monocular images, eliminating the need for costly 3D annotations.
Pedestrian interactions and long-horizon navigation are critical pain points for visual navigation models, with SidewalkBench revealing that scaling training with synthetic data could be the key to overcoming these challenges.
