Several tweets have been made about the introduction of new foundation models for object detection and pose estimation in images and videos. The GLEE model, presented by various users, is a unified framework for locating and identifying objects in images and videos, accomplishing tasks such as detection, segmentation, tracking, grounding, and identification of arbitrary objects. Additionally, NVIDIA Research has introduced FoundationPose, a unified foundation model for 6D object pose estimation and tracking for novel objects.
This AI Paper Introduces RTMO: A Breakthrough in Real-Time Multi-Person Pose Estimation Using Dual 1-D Heatmaps https://t.co/Dezp4X0ASe
[CV] General Object Foundation Model for Images and Videos at Scale https://t.co/dbnGMp6tLk A general object foundation model for images and videos. Named GLEE, this model accomplishes detection, segmentation, tracking, grounding, and identification of arbitrary objects in⦠https://t.co/rKwDxLvTlU
π£ Introducing FoundationPose, a unified foundation model for 6D object pose estimation and tracking for novel objects from #NVIDIAResearch. See the details below. 𧡠π https://t.co/vM99FtxHtE
General Object Foundation Model for Images and Videos at Scale paper page: https://t.co/r1WW34hSsH present GLEE in this work, an object-level foundation model for locating and identifying objects in images and videos. Through a unified framework, GLEE accomplishes detection,β¦ https://t.co/HOLpF1fLRh
GLEE: General Object Foundation Model for Images and Videos at Scale Presents an object-level foundation model for locating and identifying objects in images and videos proj: https://t.co/m9wMiEnsID abs: https://t.co/UHTzVUttTd https://t.co/aflFP0Vv7F