… alone category, all the existing works use all of the available depth information by
employing SDF (signed distance function), thus falling under the Dense Methods category. …

… employs semantic labeling which provides richer information … this paper is a 6D object pose
estimator that exploits multiple … map to accurately predict the pose of an object under heavy …

… fine-grained 3D models available, we incorporate a dense 3D … information between the
detection and pose estimation … employs fine-grained category aware 3D model in 3D pose …

… Finally, the pose estimation stage employs RANdom SAmple … accurately estimate 3D pose
information of the object with … problem for building sparse and dense correspondences. In [12]…

… in the form of a dense 3D object coordinate and class labeling … the deep learning and pose
regression methods, and employs … On that basis, we argue that most pose information can be …

… object instances without a dense representation of the entire static scene. Fusion++ uses
Mask R-CNN instance segmentation to initialize dense … effectively utilizes depth information. It …

… In this paper, we propose a method that utilizes dense … These works employ 3D shape prior
information and exhibit state… 3d pose estimation and 3d model retrieval for objects in the wild. …

… Mono 3D (Monocular 3D Object Detection) [31] uses ground … identifying free-form 3dimensional
objects in point clouds with … dense 3D object coordinate form, including 1015 object class …

… from data with no information about symmetries or other … the rotation, and instead uses a
separate head to regress the … We reduce embeddings to three dimensions for visualization …

… Let H(i, j, k) denote the three dimensional qHOG histogram of … employ the same bounding
idea in our 3D pose estimation … -dependent appearance information of individual object parts, …