Adaptive patching for time-series Transformers yields no consistent gain over a tuned uniform baseline on long-horizon benchmarks once evaluated with fixed backbones.
Entrope: Entropy-guided dynamic patch encoder for time series forecasting
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
CONDITIONAL 2representative citing papers
SEPatch3D accelerates ViT-based 3D object detectors up to 57% faster than StreamPETR via dynamic patch sizing and cross-granularity enhancement while keeping comparable accuracy on nuScenes and Argoverse 2.
citing papers explorer
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Adaptive Patching Is Harder Than It Looks For Time-Series Forecasting
Adaptive patching for time-series Transformers yields no consistent gain over a tuned uniform baseline on long-horizon benchmarks once evaluated with fixed backbones.
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Revisiting Token Compression for Accelerating ViT-based Sparse Multi-View 3D Object Detectors
SEPatch3D accelerates ViT-based 3D object detectors up to 57% faster than StreamPETR via dynamic patch sizing and cross-granularity enhancement while keeping comparable accuracy on nuScenes and Argoverse 2.