However,in3Dshapereconstruction,the complementaryfusionof visual and haptic modalities remains largely unexplored.

An important result is that for linear functionsf it is possible to recovers from observationsx up to certain symmetries, i.e., the model isidentifiable [8].

Let t beanother F analytic in t suchthat 0 = f0 and ( t) =( ft) forallt. Intherightfigurea volumepreservingtransfor applied (see Appendix C). 3: Smoothinvariantdeformations.

Thispaper presents anefficient multi-scale vision Transformer,called ResT,that capably served as a general-purpose backbone for image recognition.

Theoretical and empirical studies [21,77,9,55,49,5,12]postulate that such flatter regions generalize better than sharper minima, e.g., due to the flat minimizer's robustness against loss function shifts between trainandtestdata,asillustrated inFig.1.