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Latent dynamics models like Dreamer can lure you into a false sense of security: their epistemic uncertainty estimates are unreliable because they're biased towards high-reward attractors in the latent space, even when the real world is different.
Vanilla Transformers, previously sidelined in 3D scene understanding, now outperform specialized architectures thanks to a clever training recipe that overcomes data scarcity.
Ditch the complex trackers: a plain ViT encoder, augmented with a clever query propagation trick, delivers state-of-the-art video segmentation at 10x the speed.
