Expectation (and attention) in visual cognition

C Summerfield, T Egner - Trends in cognitive sciences, 2009 - cell.com
Visual cognition is limited by computational capacity, because the brain can process only a
fraction of the visual sensorium in detail, and by the inherent ambiguity of the information …

The role of context in object recognition

A Oliva, A Torralba - Trends in cognitive sciences, 2007 - cell.com
In the real world, objects never occur in isolation; they co-vary with other objects and
particular environments, providing a rich source of contextual associations to be exploited by …

[图书][B] Cognitive psychology: A student's handbook

MW Eysenck, MT Keane - 2020 - taylorfrancis.com
The fully updated eighth edition of Cognitive Psychology: A Student's Handbook provides
comprehensive yet accessible coverage of all the key areas in the field ranging from visual …

Dissonance between human and machine understanding

Z Zhang, J Singh, U Gadiraju, A Anand - Proceedings of the ACM on …, 2019 - dl.acm.org
Complex machine learning models are deployed in several critical domains including
healthcare and autonomous vehicles nowadays, albeit as functional blackboxes …

Consistency effects between objects in scenes

JL Davenport - Memory & Cognition, 2007 - Springer
How does context influence the perception of objects in scenes? Objects appear in a given
setting with surrounding objects. Do objects in scenes exert contextual influences on each …

ERP evidence for context congruity effects during simultaneous object–scene processing

L Mudrik, D Lamy, LY Deouell - Neuropsychologia, 2010 - Elsevier
Contextual regularities help us analyze visual scenes and form judgments on their
constituents. The present study investigates the effect of context violation on scene …

Putting visual object recognition in context

M Zhang, C Tseng, G Kreiman - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Context plays an important role in visual recognition. Recent studies have shown that visual
recognition networks can be fooled by placing objects in inconsistent contexts (eg, a cow in …

Spatial reasoning for few-shot object detection

G Kim, HG Jung, SW Lee - Pattern Recognition, 2021 - Elsevier
Although modern object detectors rely heavily on a significant amount of training data,
humans can easily detect novel objects using a few training examples. The mechanism of …

Recursive context routing for object detection

Z Chen, J Zhang, D Tao - International Journal of Computer Vision, 2021 - Springer
Recent studies have confirmed that modeling contexts is important for object detection.
However, current context modeling approaches still have limited expressive capacity and …

Associative recognition processes are modulated by the semantic unitizability of memoranda

R Tibon, N Gronau, AL Scheuplein, A Mecklinger… - Brain and Cognition, 2014 - Elsevier
Although memory of episodic associations is generally considered to be recollective in
nature, it has been suggested that when stimuli are experienced as a unit, familiarity …