Rank-DETR for high quality object detection
Modern detection transformers (DETRs) use a set of object queries to predict a list of
bounding boxes, sort them by their classification confidence scores, and select the top …
bounding boxes, sort them by their classification confidence scores, and select the top …
[HTML][HTML] Advancements in point cloud-based 3D defect classification and segmentation for industrial systems: A comprehensive survey
In recent years, 3D point clouds (PCs) have gained significant attention due to their diverse
applications across various fields, such as computer vision (CV), condition monitoring (CM) …
applications across various fields, such as computer vision (CV), condition monitoring (CM) …
Segpoint: Segment any point cloud via large language model
Despite significant progress in 3D point cloud segmentation, existing methods primarily
address specific tasks and depend on explicit instructions to identify targets, lacking the …
address specific tasks and depend on explicit instructions to identify targets, lacking the …
3d-gres: Generalized 3d referring expression segmentation
3D Referring Expression Segmentation (3D-RES) is dedicated to segmenting a specific
instance within a 3D space based on a natural language description. However, current …
instance within a 3D space based on a natural language description. However, current …
RefMask3D: Language-guided transformer for 3D referring segmentation
3D referring segmentation is an emerging and challenging vision-language task that aims to
segment the object described by a natural language expression in a point cloud scene. The …
segment the object described by a natural language expression in a point cloud scene. The …
ODIN: A Single Model for 2D and 3D Segmentation
State-of-the-art models on contemporary 3D segmentation benchmarks like ScanNet
consume and label dataset-provided 3D point clouds obtained through post processing of …
consume and label dataset-provided 3D point clouds obtained through post processing of …
Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior
While recent 3D instance segmentation approaches show promising results based on
transformer architectures they often fail to correctly identify instances with similar …
transformer architectures they often fail to correctly identify instances with similar …
Beyond the Final Layer: Hierarchical Query Fusion Transformer with Agent-Interpolation Initialization for 3D Instance Segmentation
J Lu, J Deng, T Zhang - ar**-based Kernel-based and Transformer-based methods. We argue that this is …