This academic paper introduces PillarNeSt, a new technique for 3D object detection in point clouds. The authors highlight the effectiveness of 2D backbone scaling and pretraining for pillar-based 3D object…
Continue readingThe paper discusses the challenges of extending large-scale pretraining and instruction tuning to vision-language models due to the diversity in visual inputs. The authors propose a more efficient method for…
Continue readingThis research introduces multiple physics pretraining (MPP), a new approach for physical surrogate modeling. The MPP method involves training large models to predict the dynamics of various physical systems simultaneously….
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
