The new open-source atlas, generated by an AI tool called ESMFold2, vastly increases the known protein universe.
Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...
Abstract: Domain adaptive object detection (DAOD) aims to develop a detector trained on labeled source domains to identify objects in unlabeled target domains. A primary challenge in DAOD is the ...
Humanoid robots are increasingly capable of performing complex real-world tasks, but many still struggle with dexterous object manipulation and navigation in dynamic environments. Carnegie Mellon ...
Abstract: Detecting objects remains one of computer vision and image understanding applications’ most fundamental and challenging aspects. Significant advances in object detection have been achieved ...
SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...
We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike ...