Disentangling Structure and Appearance in ViT Feature Space

Autor: Tumanyan, Narek, Bar-Tal, Omer, Amir, Shir, Bagon, Shai, Dekel, Tali

We present a method for semantically transferring the visual appearance of one natural image to another. Specifically, our goal is to generate an image in which objects in a source structure image are "painted" with the visual appearance of their sem

Externí odkaz: http://arxiv.org/abs/2311.12193

Deep ViT Features as Dense Visual Descriptors

Autor: Amir, Shir, Gandelsman, Yossi, Bagon, Shai, Dekel, Tali

We study the use of deep features extracted from a pretrained Vision Transformer (ViT) as dense visual descriptors. We observe and empirically demonstrate that such features, when extractedfrom a self-supervised ViT model (DINO-ViT), exhibit several

Externí odkaz: http://arxiv.org/abs/2112.05814

Explainable automated recognition of emotional states from canine facial expressions: the case of positive anticipation and frustration

Autor: Boneh-Shitrit, Tali, Feighelstein, Marcelo, Bremhorst, Annika, Amir, Shir, Distelfeld, Tomer, Dassa, Yaniv, Yaroshetsky, Sharon, Riemer, Stefanie, Shimshoni, Ilan, Mills, Daniel S, Zamansky, Anna

Publikováno v: Boneh-Shitrit, Tali; Feighelstein, Marcelo; Bremhorst, Annika; Amir, Shir; Distelfeld, Tomer; Dassa, Yaniv; Yaroshetsky, Sharon; Riemer, Stefanie; Shimshoni, Ilan; Mills, Daniel S; Zamansky, Anna (2022). Explainable automated recognition of emotional states from canine facial expressions: the case of positive anticipation and frustration. Scientific reports, 12(1), p. 22611. Springer Nature 10.1038/s41598-022-27079-w

Internal affective states are closely linked to facial expressions in both human and many non-human animals. For some animal species, objective tools for facial expression analysis such as AnimalFACS are available and are only just beginning to be in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::814f41647de3ab6ec58f955038cf23aa
https://doi.org/10.1038/s41598-022-27079-w