EffiPerception: an Efficient Framework for Various Perception Tasks

arXiv:2403.12317v1 Announce Type: new
Abstract: The accuracy-speed-memory trade-off is always the priority to consider for several computer vision perception tasks.
Previous methods mainly focus on a single or small couple of these tasks, such as creating effective data augmentation, feature extractor, learning strategies, etc. These approaches, however, could be inherently task-specific: their proposed model's performance may depend on a specific perception task or a dataset.
Targeting to explore common learning patterns and increasing the module robustness, we propose the EffiPerception …

abstract accuracy arxiv augmentation computer computer vision cs.cv data etc feature focus framework however memory perception small speed strategies tasks trade trade-off type vision