4 papers
Obtaining Favorable Layouts for Multiple Object Generation
Barak Battash, Amit Rozner, Lior Wolf +1
Large-scale text-to-image models that can generate high-quality and diverse images based on textual prompts have shown remarkable success. These models aim ultimately to create com…
Mixing between the Cross Entropy and the Expectation Loss Terms
Barak Battash, Lior Wolf, Tamir Hazan
The cross entropy loss is widely used due to its effectiveness and solid theoretical grounding. However, as training progresses, the loss tends to focus on hard to classify samples…
Mimic The Raw Domain: Accelerating Action Recognition in the Compressed Domain
Barak Battash, Haim Barad, Hanlin Tang +1
Video understanding usually requires expensive computation that prohibits its deployment, yet videos contain significant spatiotemporal redundancy that can be exploited. In particu…
Adaptive and Iteratively Improving Recurrent Lateral Connections
Barak Battash, Lior Wolf
The current leading computer vision models are typically feed forward neural models, in which the output of one computational block is passed to the next one sequentially. This is…