Results 11 to 20 of about 11,426 (251)
Keypoint Transfer Segmentation [PDF]
, 2015 We present an image segmentation method that transfers label maps of entire organs from the training images to the novel image to be segmented. The transfer is based on sparse correspondences between keypoints that represent automatically identified distinctive image locations. Our segmentation algorithm consists of three steps: (i) keypoint matching, (
Christian Wachinger +4 more
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Unified Keypoint-Based Action Recognition Framework via Structured Keypoint Pooling [PDF]
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 CVPR ...
Ryo Hachiuma, Fumiaki Sato, Taiki Sekii
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RSCS6D: Keypoint Extraction-Based 6D Pose Estimation
Applied SciencesIn this work, we propose an improved network, RSCS6D, for 6D pose estimation from RGB-D images by extracting keypoint-based point clouds. Our key insight is that keypoint cloud can reduce data redundancy in 3D point clouds and accelerate the convergence ...
Weiyu Liu, Nan Di
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SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation
CAAI Transactions on Intelligence TechnologySequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category,
Yaxin Liu +7 more
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2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Accepted to ICCV ...
Zauss, Duncan +2 more
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Viewpoints and keypoints [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 We characterize the problem of pose estimation for rigid objects in terms of determining viewpoint to explain coarse pose and keypoint prediction to capture the finer details. We address both these tasks in two different settings - the constrained setting with known bounding boxes and the more challenging detection setting where the aim is to ...
Shubham Tulsiani, Jitendra Malik
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KGDet: Keypoint-Guided Fashion Detection
, 2021 Locating and classifying clothes, usually referred to as clothing detection, is a fundamental task in fashion analysis. Motivated by the strong structural characteristics of clothes, we pursue a detection method enhanced by clothing keypoints, which is a
Liu, Tong +6 more
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SiLK: Simple Learned Keypoints
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Keypoint detection & descriptors are foundational tech-nologies for computer vision tasks like image matching, 3D reconstruction and visual odometry. Hand-engineered methods like Harris corners, SIFT, and HOG descriptors have been used for decades; more recently, there has been a trend to introduce learning in an attempt to improve keypoint ...
Pierre Gleize +2 more
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dattalab/keypoint-moseq: Keypoint MoSeq 0.3.0
, 2023 <h2>Overhaul of statistical analysis pipeline</h2> <p>We refactored the statistical analysis pipeline so that it no longer depends on jupyter notebook extensions (many users reported issues installing the extensions). <strong>Note:
Mohammed Osman +7 more
core +1 more source
Semi-supervised Keypoint Localization
CoRR, 2021 Knowledge about the locations of keypoints of an object in an image can assist in fine-grained classification and identification tasks, particularly for the case of objects that exhibit large variations in poses that greatly influence their visual appearance, such as wild animals.
Olga Moskvyak +3 more
openaire +5 more sources