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Language01:16

Language

908
Language is a unique communication system that uses words and systematic rules to organize and transmit information. Unlike other forms of communication, which may involve postures, movements, odors, or vocalizations, language relies on symbols and grammar. This makes human communication distinct from that of other species, who also communicate but do not use language in the same way humans do.
Corballis and Suddendorf (2007) and Tomasello and Rakoczy (2003) highlight the role of language in...
908
Components of Language01:24

Components 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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Language Development01:22

Language 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...
908
Language and Cognition01:27

Language and Cognition

797
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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pre-mRNA Processing02:01

pre-mRNA Processing

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In eukaryotic cells, transcripts made by RNA polymerase are modified and processed before exiting the nucleus. Unprocessed RNA is called precursor mRNA or pre-mRNA to distinguish it from mature mRNA.
Once about 20-40 ribonucleotides have been joined together by RNA polymerase, a group of enzymes adds a “cap” to the 5’ end of the growing transcript. In this process, a 5’ phosphate is replaced by modified guanosine that has a methyl group attached to it (7-Methyl...
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Velocity of an Object01:18

Velocity of an Object

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Understanding how an object moves along a path requires distinguishing between motion over a time span and motion at a precise moment. A useful example is a vehicle traveling along a straight and level path, where its position at any given time is known. The initial step in analyzing this motion is to measure how far the vehicle travels over a fixed time period. This measurement, called average velocity, is computed by dividing the total change in position by the duration over which the change...
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Updated: Jan 30, 2026

Novel Object Recognition Test for the Investigation of Learning and Memory in Mice
08:52

Novel Object Recognition Test for the Investigation of Learning and Memory in Mice

Published on: August 30, 2017

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ゼロショットターゲット認識のためのオブジェクトガイド対照言語画像事前学習

Chenghao Zheng1

  • 1Southwest China Institute of Electronic Technology, Chengdu, 610036, Sichuan, China. zch.512@163.com.

Scientific reports
|January 28, 2026
PubMed
まとめ

オブジェクトガイドCLIP(OG-CLIP)は、ターゲット認識を改善することにより、セキュリティのための視覚言語モデルを強化します。知識グラフ、領域中心処理、および適応型機能を通じてより高い精度を達成し、標準モデルを上回っています。

科学分野:

  • コンピュータサイエンス;人工知能;機械学習

背景:

  • 従来の視覚言語モデル(VLM)は、セキュリティアプリケーションにおける意味データ、背景抑制、およびマルチ解像度機能の処理に制限があります。 著名なVLMであるCLIPは、トレーニングデータの意味が不十分で、機能処理が硬いため、多様なターゲットを認識する上で制約があります。

研究 の 目的:

  • セキュリティシステムで優れたターゲット認識のために設計された高度なVLMであるObject-Guide CLIP(OG-CLIP)を導入すること。 新しいデータ拡張、ターゲット中心処理、および適応型機能表現を統合することにより、既存のVLMの制限を克服すること。

主な方法:

  • 5000カテゴリの軍事知識グラフと100万の画像テキストペアを使用した知識グラフ駆動型データ拡張。 SAM 2マスクとViT機能を融合して、焦点と背景の抑制を強化するターゲット中心の関心領域(ROI)モジュール。 柔軟な粒度のための連続機能と動的な次元重み付けを備えた適応型マルチ解像度学習(MRL)。

主要な成果:

  • OG-CLIPは、99のターゲットカテゴリ全体で84.28%の平均精度(mAcc)を達成し、ベースラインCLIPを11.36パーセンテージポイント上回りました。 Ablation研究は、提案された各コンポーネントが全体的なパフォーマンスに大きく貢献していることを確認しました。 モデルは、複雑なシナリオで優れたパフォーマンスを示し、その堅牢性を強調しました。

結論:

  • OG-CLIPは、軍事ターゲット認識のためのスケーラブルで適応可能なビジョン言語モデリングフレームワークを提示します。 提案された拡張機能は、従来のVLMにおける意味論的な制限、背景ノイズ、および機能的な柔軟性の問題を効果的に解決します。 将来の研究の方向性には、データセットの拡張と効率のためのモデルの最適化が含まれます。
キーワード:
アテンションメカニズムコンピュータビジョンディープラーニングオブジェクト認識

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