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Everything about Visual temporal attention
Visual temporal attention is a special case of visual attention that involves directing attention to specific instant of time. Similar to its spatial counterpart visual spatial attention, these attention modules have been widely implemented in video analytics in computer vision to provide enhanced performance and human interpretable explanation of deep learning models. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Visual temporal attentionA 5-minute orientation
- Skim a recent paper: DAST-Net: Dense visual attention augmented spatio-temporal network for unsupervised video anomaly detectionInfluential work since 2022
- Pick up a classic book: Cartesian meditationsThe most-reprinted book on the subject
- Read the landmark paper: Abnormal temporal dynamics of visual attention in spatial neglect patientsCited 288 times
- Go sideways: Convolutional neural networkA closely related topic
- Go sideways: Object co-segmentationA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Abnormal temporal dynamics of visual attention in spatial neglect patients
Focal visual attention produces illusory temporal order and motion sensation
Visual attention and the temporal dynamics of feature integration
Temporal contextual cuing of visual attention.
Emotion Modulation of Visual Attention: Categorical and Temporal Characteristics
Selective temporal attention enhances the temporal resolution of visual perception: Evidence from a temporal order judgment task
Visual marking: Selective attention to asynchronous temporal groups.
Visual temporal attention from perception to computation
🆕 Influential since 2022
DAST-Net: Dense visual attention augmented spatio-temporal network for unsupervised video anomaly detection
Spatial attention tunes temporal processing in early visual cortex by speeding and slowing alpha oscillations
The temporal dynamics of visual attention.
Temporal integration as an adaptive process in visual perception, attention, and working memory
Anticipatory and evoked visual cortical dynamics of voluntary temporal attention
📚 Books worth reading
Cartesian meditationsEdmund Husserl, Dorion Cairns · 1960
Human attention in digital environmentsClaudia Roda · 2011
Treaty Occupationay ToxicologySuelen Queiroz · 2010
Game AnalyticsMagy Seif El-Nasr · 2013
Primate neuroethologyMichael L. Platt · 2010
The cognitive neuroscience of working memoryRobert H. Logie, Mark D'Esposito · 2007- 📕The temporal resolution of visual attention and perceptionAlexander O'Flaherty Holcombe · 2000
- 📕The affect of different temporal patterns of sound on the auditory attention required for visual recallDavid Highgate · 2000
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Convolutional neural network A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep…
- Object co-segmentation In computer vision, object co-segmentation is a special case of image segmentation, which is defined as jointly segmenting semantically similar objects…
- Computer vision Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from…
- Visual spatial attention Visual spatial attention is a form of visual attention that involves directing attention to a location in space. Similar to its temporal counterpart visual…
- Object detection Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a…
- Video super-resolution Video super-resolution (VSR) is the process of generating high-resolution video frames from the given low-resolution video frames. Unlike single-image…
- Vision transformer A vision transformer (ViT) is a transformer designed for computer vision. A ViT decomposes an input image into a series of patches (rather than text into…
- Convolutional layer In artificial neural networks, a convolutional layer is a type of network layer that applies a convolution operation to the input. Convolutional layers…