Recently added

Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations

Sakai, Akira; Sunagawa, Taro; Madan, Spandan; Suzuki, Kanata; Katoh, Takashi; e.a. (Center for Brains, Minds and Machines (CBMM), 2022-01-26)

The training data distribution is often biased towards objects in certain orientations and illumination conditions. While humans have a remarkable capability of recognizing objects in out-of-distribution (OoD) orientations ...

Image interpretation by iterative bottom-up top-down processing

Ullman, Shimon; Assif, Liav; Strugatski, Alona; Vatashsky, Ben-Zion; Levi, Hila; e.a. (Center for Brains, Minds and Machines (CBMM), 2021-11-01)

Scene understanding requires the extraction and representation of scene components, such as objects and their parts, people, and places, together with their individual properties, as well as relations and interactions ...

From Marr’s Vision to the Problem of Human Intelligence

Poggio, Tomaso (Center for Brains, Minds and Machines (CBMM), 2021-09-01)

DSpace@MIT

CBMM Memo Series: Recent submissions

Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations

Image interpretation by iterative bottom-up top-down processing

From Marr’s Vision to the Problem of Human Intelligence

CBMM Memo Series: Recent submissions

Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations ﻿

Image interpretation by iterative bottom-up top-down processing ﻿

From Marr’s Vision to the Problem of Human Intelligence ﻿

Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations

Image interpretation by iterative bottom-up top-down processing

From Marr’s Vision to the Problem of Human Intelligence