11 citations · 17 across the 14 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CV2024
Part2Object: Hierarchical Unsupervised 3D Instance Segmentation
Cheng Shi, Yulin Zhang, Bin Yang +3
Unsupervised 3D instance segmentation aims to segment objects from a 3D point cloud without any annotations. Existing methods face the challenge of either too loose or too tight cl…
cs.CV2024
Plain-Det: A Plain Multi-Dataset Object Detector
Cheng Shi, Yuchen Zhu, Sibei Yang
Recent advancements in large-scale foundational models have sparked widespread interest in training highly proficient large vision models. A common consensus revolves around the ne…
cs.CV2024★ 1 cited
The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models
Cheng Shi, Sibei Yang
Foundation models, pre-trained on a large amount of data have demonstrated impressive zero-shot capabilities in various downstream tasks. However, in object detection and instance…