3 accepted papers
Post-training quantization (PTQ) has emerged as a promising solution for reducing the storage and computational cost of vision transformers (ViTs). Recent advances primarily target at crafting quantizers to deal with peculiar activations characterized by ViTs. However, most existing methods underest…
While human vision inherently achieves robust cross-domain depth estimation through binocular coordination, robotic systems employing stereo matching still confront significant challenges in maintaining robustness across domains when performing real-time environmental depth perception. Furthermore,
Lane detection is one of the most important tasks in self-driving. The critical purpose of lane detection is the prediction of lane shapes. Meanwhile, it is challenging and difficult to determine lane instance positions before predicting lane shapes in an image. In this paper, we propose a top-down…