Unsupervised Discovery of Object Landmarks as Structural Representations

Deep neural networks can model images with rich latent representations, but they cannot naturally conceptualize structures of object categories in a human-perceptible way. This paper addresses the problem of learning object structures in an image modeling process without supervision... (read more)

PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract
No code implementations yet. Submit your code now
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Unsupervised Facial Landmark Detection AFLW (Zhang CVPR 2018 crops) LMDIS-REP NME 6.58 # 3
Unsupervised Facial Landmark Detection MAFL LMDIS-REP NME 3.15 # 3

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet