34 citations · 86 across the 20 of their papers we have counts for
5 papers · 1 filter
Informative Object Annotations: Tell Me Something I Don't Know
Lior Bracha, Gal Chechik
Capturing the interesting components of an image is a key aspect of image understanding. When a speaker annotates an image, selecting labels that are informative greatly depends on…
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
Yuval Atzmon, Gal Chechik
Generalized zero-shot learning (GZSL) is the problem of learning a classifier where some classes have samples and others are learned from side information, like semantic attributes…
Metric Learning for Phoneme Perception
Yair Lakretz, Gal Chechik, Evan-Gary Cohen +2
Metric functions for phoneme perception capture the similarity structure among phonemes in a given language and therefore play a central role in phonology and psycho-linguistics. V…
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning
Yuval Atzmon, Gal Chechik
In zero-shot learning (ZSL), a classifier is trained to recognize visual classes without any image samples. Instead, it is given semantic information about the class, like a textua…
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig, Moshiko Raboh, Gal Chechik +2
Machine understanding of complex images is a key goal of artificial intelligence. One challenge underlying this task is that visual scenes contain multiple inter-related objects, a…