Pictures and names: making the connection.

By Pierre Jolicoeur, Mark A. Gluck, Stephen M. Kosslyn. 1984

Subfields: Cognitive Science & Psychology

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In Cognitive Science & Psychology

Citations in the corpus

SUN database: Large-scale scene recognition from abbey to zoo (2010, background): “Most of the terms referred to basic and entry level places [30, 24, 25, 14] with different semantic descriptions.”
SUN Database: Exploring a Large Collection of Scene Categories (2014, background): “Most of the terms referred to entry-level places (Tversky and Hemenway 1983; Rosch 1973; Rosch et al. 1976; Jolicoeur et al. 1984).”
Places: An Image Database for Deep Scene Understanding (2016, background): “Most of the words referred to basic and entry-level names ( [15]), resulting in a corpus of 900 different scene categories after bundling together synonyms, and separating classes described by the same word but referring to different environments (e.g. inside and outside views of churches).”
Stages of processing in face perception: an MEG study (2002, background): “Several studies of object recognition suggest that objects are first categorized at a 'basic level' (dog, bird) before a finer 'subordinate level' identification is achieved (poodle, sparrow”
Semantic hierarchies for image annotation: A survey (2012, unknown): “[50] for more precisions).”
The natural/man-made distinction is made before basic-level distinctions in scene gist processing (2010, background): “Jolicoeur, Gluck, and Kosslyn (1984) showed that the entry point at which objects are recognized may not always be the basic level, but sometimes the subordinate level.”
Deep Learning for Generic Object Detection: A Survey (2018, unknown): “*4 訳注:エントリレベルカテゴリは,物体の画像を見て最初に認識される (真っ先に呼べる)レベルのカテゴリ [342]である.”
Places: A 10 Million Image Database for Scene Recognition (2018, background): “Most of the words referred to basic and entry-level names ([22]), resulting in a corpus of 900 different scene categories after bundling together synonyms, and separating classes described by the same word but referring to different environments (e.”
From Large Scale Image Categorization to Entry-Level Categories (2013, background): “This experiment expands on previous studies in psychology [18, 11].”
Recognition-by-components: a theory of human image understanding. (1987, result): “With such instances, which unconfound the similarity between basiclevel and subordinate-level objects, perceptual access should be at the subordinate {or instance) level, a result supported by a recent report by Jolicoeur, Gluck, and Kosslyn (1984) .”
Structure and deterioration of semantic memory: a neuropsychological and computational investigation. (2004, background): “For example, robins, sparrows, and blue-jays are usually named as birds in confrontation-naming tasks with nonexperts (Rosch et al., 1976), whereas atypical but familiar category exemplars (like ducks, penguins, and ostriches) are usually named at this more specific level ( Jolicoeur, Gluck, & Kossl”
Learning More Universal Representations for Transfer-Learning (2017, background): “In a universality perspective, it is better to rely on a grouping process that uses an explicit human categorization expertise in order to reflect semantically-real relations between categories [10], [30].”
Hierarchical models in cognition: Do they have psychological reality? (2000, background): “Jolicoeur, Gluck, and Kosslyn (1984) found evidence that reaction times to classify objects varied with the typicality of the objects rather than hierarchical level, and Riddoch and Humphreys (1987) claimed that reaction times are determined by structural similarity or distinctiveness.”