1. Unsupervised Learning of Tag-Sensitive Descriptors
Challenge: Leverage Vast Amounts of Weakly annotated data to our advantage.
Task: Large-Scale Scene Classification (SUN)
Maurizio Calo Caligaris. Unsupervised Feature Learning and Deep Learning Research Group , Prof. Ng's Lab. Computer Science Department, Stanford University. 1
State-of-the-art performance:
Multiple features: 38%
Single descriptor: 28% (HOG2x2)
State-of-the-art performance:
Multiple features: 38%
Single descriptor: 28% (HOG2x2)
State-of-the-art performance:
Multiple features: 38%
Single descriptor: 28% (HOG2x2)
State-of-the-art performance:
Multiple features: 38%
Single descriptor: 28% (HOG2x2)

2. Unsupervised Learning of Tag-Sensitive Descriptors
Maurizio Calo Caligaris. Unsupervised Feature Learning and Deep Learning Research Group , Prof. Ng's Lab. Computer Science Department, Stanford University. 2