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Greatest papers with code

Self-Supervised Viewpoint Learning From Image Collections

CVPR 2020 NVlabs/SSV

Training deep neural networks to estimate the viewpoint of objects requires large labeled training datasets.

VIEWPOINT ESTIMATION

3D Bounding Box Estimation Using Deep Learning and Geometry

CVPR 2017 skhadem/3D-BoundingBox

In contrast to current techniques that only regress the 3D orientation of an object, our method first regresses relatively stable 3D object properties using a deep convolutional neural network and then combines these estimates with geometric constraints provided by a 2D object bounding box to produce a complete 3D bounding box.

3D OBJECT DETECTION POSE ESTIMATION SEMANTIC SEGMENTATION VIEWPOINT ESTIMATION

Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects

12 Jun 2019YoungXIAO13/PoseFromShape

Most deep pose estimation methods need to be trained for specific object instances or categories.

POSE ESTIMATION VIEWPOINT ESTIMATION

Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres

CVPR 2019 leoshine/Spherical_Regression

We observe many continuous output problems in computer vision are naturally contained in closed geometrical manifolds, like the Euler angles in viewpoint estimation or the normals in surface normal estimation.

3D ROTATION ESTIMATION VIEWPOINT ESTIMATION

StarMap for Category-Agnostic Keypoint and Viewpoint Estimation

ECCV 2018 xingyizhou/StarMap

Existing methods define semantic keypoints separately for each category with a fixed number of semantic labels in fixed indices.

KEYPOINT DETECTION VIEWPOINT ESTIMATION

Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence

3 Sep 2018val-iisc/pose_estimation

In this work, we propose a data-efficient method which utilizes the geometric regularity of intraclass objects for pose estimation.

POSE ESTIMATION VIEWPOINT ESTIMATION

iSPA-Net: Iterative Semantic Pose Alignment Network

3 Aug 2018val-iisc/iSPA-Net

Such image comparison based approach also alleviates the problem of data scarcity and hence enhances scalability of the proposed approach for novel object categories with minimal annotation.

POSE ESTIMATION VIEWPOINT ESTIMATION