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Eindhoven University of Technology
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Training trajectory forecasting models with a metric-agnostic approach can lead to state-of-the-art performance across all evaluation metrics, challenging the notion that metric-specific optimization is necessary.
SurGe reveals that enhancing local surface geometry can significantly elevate the performance of 3D reconstruction models, challenging the status quo of existing evaluation metrics.
Vanilla Transformers, previously sidelined in 3D scene understanding, now outperform specialized architectures thanks to a clever training recipe that overcomes data scarcity.
Ditch the computational bloat: DeltaWorld slashes parameters by 35x and FLOPs by 2000x while generating more realistic video futures.
Get 3x faster image segmentation and comparable video segmentation performance to fine-tuned models, all while keeping your vision encoder frozen.
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.
