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Related Concept Videos

Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

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Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
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The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
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Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
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Automatic Processing and Automatic Social Behavior01:28

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Related Experiment Video

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Object-Location-Aware Hashing for Multi-Label Image Retrieval via Automatic Mask Learning.

Chang-Qin Huang, Shang-Ming Yang, Yan Pan

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    Summary

    This study introduces a deep supervised hashing method for multi-label image retrieval. The approach uses a binary "mask" to focus hash codes on image objects, improving retrieval accuracy over existing methods.

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    Area of Science:

    • Computer Science
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Approximate nearest neighbor search is crucial for large-scale image retrieval.
    • Learning-based hashing methods are a leading approach for this task.

    Purpose of the Study:

    • To develop a deep supervised hashing method for multi-label image retrieval.
    • To improve image retrieval by focusing on objects and ignoring background noise.

    Main Methods:

    • A deep architecture with a convolutional sub-network for feature generation.
    • A binary 'mask' sub-network to identify object locations.
    • Weighted average pooling using the mask to generate object-focused features and hash codes.
    • Combined triplet ranking and cross-entropy loss functions for training.

    Main Results:

    • The proposed method was evaluated on four multi-label image datasets.
    • Achieved superior performance compared to state-of-the-art supervised and unsupervised hashing baselines.

    Conclusions:

    • The novel deep supervised hashing method effectively enhances multi-label image retrieval.
    • Focusing on image objects via a binary mask significantly improves retrieval accuracy.