Papers Unsupervised Keypoints
“Unsupervised Keypoints” 태그가 달린 논문 8편 · 필터 해제
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection
Clinicians compare breast DCE-MRI after neoadjuvant chemotherapy (NAC) with pre-treatment scans to evaluate the response to NAC. Clinical evidence supports that accurate longitudinal deformable registration without defor…
Keypoint DetectionTumor SegmentationUnsupervised KeypointsUnsupervised Keypoints from Pretrained Diffusion Models
Unsupervised learning of keypoints and landmarks has seen significant progress with the help of modern neural network architectures, but performance is yet to match the supervised counterpart, making their practicability…
DenoisingUnsupervised Human Pose EstimationUnsupervised KeypointsFONT: Flow-guided One-shot Talking Head Generation with Natural Head Motions
One-shot talking head generation has received growing attention in recent years, with various creative and practical applications. An ideal natural and vivid generated talking head video should contain natural head pose …
DiversityPose PredictionTalking Head GenerationUnsupervised KeypointsTUSK: Task-Agnostic Unsupervised Keypoints
Existing unsupervised methods for keypoint learning rely heavily on the assumption that a specific keypoint type (e.g. elbow, digit, abstract geometric shape) appears only once in an image. This greatly limits their appl…
Object DiscoveryUnsupervised KeypointsAutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
Structured representations such as keypoints are widely used in pose transfer, conditional image generation, animation, and 3D reconstruction. However, their supervised learning requires expensive annotation for each tar…
Pose EstimationSelf-Supervised LearningUnsupervised Facial Landmark DetectionUnsupervised Facial Landmark Detection on MAFL+4SCOPS: Self-Supervised Co-Part Segmentation
Parts provide a good intermediate representation of objects that is robust with respect to the camera, pose and appearance variations. Existing works on part segmentation is dominated by supervised approaches that rely o…
ObjectSegmentationUnsupervised Facial Landmark DetectionUnsupervised Human Pose Estimation+2Deep Feature Factorization For Concept Discovery
We propose Deep Feature Factorization (DFF), a method capable of localizing similar semantic concepts within an image or a set of images. We use DFF to gain insight into a deep convolutional neural network's learned feat…
Unsupervised Facial Landmark DetectionUnsupervised Human Pose EstimationUnsupervised KeypointsUnsupervised learning of object landmarks by factorized spatial embeddings
Learning automatically the structure of object categories remains an important open problem in computer vision. In this paper, we propose a novel unsupervised approach that can discover and learn landmarks in object cate…
ObjectUnsupervised Facial Landmark DetectionUnsupervised Human Pose EstimationUnsupervised Keypoints