https://github.com/jamt9000/DVE
공식 코드Unsupervised Learning of Landmarks by Descriptor Vector Exchange
Papers with Code 아카이브
Unsupervised Facial Landmark Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 6
- 보존된 평가 기록
- 37
Facial landmark detection in the unsupervised setting popularized by [1]. The evaluation occurs in two stages: (1) Embeddings are first learned in an unsupervised manner (i.e. without labels); (2) A simple regressor is trained to regress landmarks from the unsupervised embedding.
[1] Thewlis, James, Hakan Bilen, and Andrea Vedaldi. "Unsupervised learning of object landmarks by factorized spatial embeddings." Proceedings of the IEEE International Conference on Computer Vision. 2017.
<span style="color:grey; opacity: 0.6">( Image credit: Unsupervised learning of object landmarks by factorized spatial embeddings )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/taldatech/deep-latent-particles-pytorch
공식 코드Unsupervised Image Representation Learning with Deep Latent Particles
https://github.com/xingzhehe/AutoLink-Self-supervised-Learning-of-Human-Skeletons-and-Object-Outlines-by-Linking-Keypoints
공식 코드AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
https://github.com/xingzhehe/ganseg
공식 코드GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
https://github.com/CompVis/unsupervised-part-segmentation
Unsupervised Part-Based Disentangling of Object Shape and Appearance
https://github.com/DELTA37/LatentKeypointGAN
https://github.com/MindSpore-scientific-2/code-9/tree/main/Deep_Feature_Factorization_For_Concept_Discovery
https://github.com/MindSpore-scientific/code-12/tree/main/Deep_Feature_Factorization_For_Concept_Discovery
https://github.com/NVIDIA/UnsupervisedLandmarkLearning
Unsupervised Part-Based Disentangling of Object Shape and Appearance
https://github.com/NVlabs/SCOPS
https://github.com/YutingZhang/lmdis-rep
Unsupervised Discovery of Object Landmarks as Structural Representations
https://github.com/alldbi/Factorized-Spatial-Embeddings
Unsupervised learning of object landmarks by factorized spatial embeddings
https://github.com/edocollins/DFF
https://github.com/hqng/imm-pytorch
Unsupervised Learning of Object Landmarks through Conditional Image Generation
https://github.com/jacobgil/pytorch-grad-cam
https://github.com/jiarenchang/facecycle
Self-supervised learning of a facial attribute embedding from video
https://github.com/oawiles/FAb-Net
Self-supervised learning of a facial attribute embedding from video
https://github.com/stergioc/smooth-transformer
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
https://github.com/tomasjakab/imm
Unsupervised Learning of Object Landmarks through Conditional Image Generation
https://github.com/zhixinshu/DeformingAutoencoders-pytorch
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.