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01:27Language and Cognition
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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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01:22Language Development
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Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
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01:24Components of Language
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Language, whether spoken, signed, or written, consists of specific components: lexicon and grammar. The lexicon is the vocabulary of a language, comprising its words. Grammar is the set of rules used to convey meaning through the lexicon. For example, English grammar adds “-ed” to most verbs to indicate past tense. Words are formed by combining phonemes, which are the basic sound units of a language. Different languages have different sets of phonemes (e.g., “ah” vs.
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01:26Visual System
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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Once through the pupil, the light passes through the lens, a...
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01:24Vision
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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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01:15Sensory Modalities
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Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
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ユニファイド・モダリティ・セパレーション: 監視されていない領域の適応のためのビジョン・言語の枠組み
IEEE transactions on pattern analysis and machine intelligence
|August 22, 2025
まとめ
この研究は,視覚言語モデル (VLMs) を使用した無監督領域適応 (UDA) の新しい枠組みを導入します. モダリティのギャップを効果的に解決し,分野を超えたタスクのパフォーマンスとコンピューティング効率を改善します.
科学分野:
- 人工知能
- コンピュータ・ビジョン
- 自然言語処理
背景:
- 無監督ドメイン適応 (UDA) は,標識されたソースドメインから標識されていないターゲットドメインへのモデルを一般化することを目的としています.
- 先程訓練された視覚言語モデル (VLM) は,視覚とテキストの埋め込みを並べることでUDAの有望性を示していますが,モードのギャップはパフォーマンスを妨げています.
- VLMの直接的なUDAは,しばしばモダリティ不変の知識のみを転送し,最適でない結果につながります.
研究 の 目的:
- VLMにおけるモダリティのギャップを解決する統一されたUDAの枠組みを提案する.
- モダリティスペシフィックとモダリティインヴァリアントのコンポーネントを分離して処理し,適応を向上させる.
- 標本の分類と標的の適応のためのモダリティ・ディスカランシーメトリックを導入する.
主な方法:
- VLMの特徴をモダリティに特化したインヴァリアントな構成要素に分解するために,統一されたモダリティ分離の枠組みが提案されています.
- コンポーネントの相乗効果を最大化するために,試験時にモダリティ・アダプティブ・アンサンブル・ウェイトが決定されます.
- モダリティ・ディスカランシー・メトリックはサンプルを分類し,モダリティ・インヴァリアントのサンプルをアライナメントに使用し,不確実なサンプルをアノテーションに使用することを可能にします.
主要な成果:
- 提案された枠組みにより,UDAの業務のパフォーマンスは最大9%向上します.
- この方法は既存の方法と比較して 計算効率が9倍も上がったことを示しています
- フレームワークの有効性と強さを検証しています.
結論:
- 統一されたモダリティ分離の枠組みは,UDAのVLMにおけるモダリティのギャップを効果的に埋める.
- このアプローチは,モダリティ特有の知識とインヴァリアントな知識の両方を活用することによって,領域間の一般化を促進します.
- この作業は,VLMでUDAのための計算効率の高いソリューションを提供します.