Results 1 to 10 of about 520,566 (125)

Contrast conservation in human vision [PDF]

open access: yesVision Research, 2003
Visual experience, which is defined by brief saccadic sampling of complex scenes at high contrast, has typically been studied with static gratings at threshold contrast. To investigate how suprathreshold visual processing is related to threshold vision, we tested the temporal integration of contrast in the presence of large, sudden changes in the ...
Peter J. Bex   +2 more
openaire   +2 more sources

The importance of contrast features in rat vision

open access: yesScientific Reports, 2023
AbstractModels of object recognition have mostly focused upon the hierarchical processing of objects from local edges up to more complex shape features. An alternative strategy that might be involved in pattern recognition centres around coarse-level contrast features.
Schnell, Anna-Elisabeth   +2 more
openaire   +4 more sources

Neural Mechanisms for Drosophila Contrast Vision [PDF]

open access: yesNeuron, 2015
Spatial contrast, the difference in adjacent luminance values, provides information about objects, textures, and motion and supports diverse visual behaviors. Contrast computation is therefore an essential element of visual processing. The underlying mechanisms, however, are poorly understood.
Etienne Serbe   +4 more
openaire   +3 more sources

Binocular contrast vision at and above threshold [PDF]

open access: yesJournal of Vision, 2006
A fundamental problem for any visual system with binocular overlap is the combination of information from the two eyes. Electrophysiology shows that binocular integration of luminance contrast occurs early in visual cortex, but a specific systems architecture has not been established for human vision.
Meese, Tim S.   +2 more
openaire   +5 more sources

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding [PDF]

open access: yesarXiv, 2023
In recent years, vision language pre-training frameworks have made significant progress in natural language processing and computer vision, achieving remarkable performance improvement on various downstream tasks. However, when extended to point cloud data, existing works mainly focus on building task-specific models, and fail to extract universal 3D ...
arxiv  

A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation [PDF]

open access: yesarXiv, 2021
Cross-contrast image translation is an important task for completing missing contrasts in clinical diagnosis. However, most existing methods learn separate translator for each pair of contrasts, which is inefficient due to many possible contrast pairs in real scenarios.
arxiv  

Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search [PDF]

open access: yes, 2023
Weakly supervised person search aims to perform joint pedestrian detection and re-identification (re-id) with only person bounding-box annotations. Recently, the idea of contrastive learning is initially applied to weakly supervised person search, where two common contrast strategies are memory-based contrast and intra-image contrast.
arxiv   +1 more source

Contrast and Phase Combination in Binocular Vision

open access: yesPLoS ONE, 2010
How the visual system combines information from the two eyes to form a unitary binocular representation of the external world is a fundamental question in vision science that has been the focus of many psychophysical and physiological investigations.
Chang-Bing Huang   +3 more
openaire   +5 more sources

Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning [PDF]

open access: yesarXiv, 2023
Contrastive vision-language models (e.g. CLIP) are typically created by updating all the parameters of a vision model and language model through contrastive training. Can such models be created by a small number of parameter updates to an already-trained language model and vision model?
arxiv  

Spatiotemporal contrast sensitivity of early vision [PDF]

open access: yesVision Research, 1993
Based on the spatial and temporal statistics of natural images, a theory is developed that specifies spatiotemporal filters that maximize the flow of information through noisy channels of limited dynamic range. Sensitivities resulting from these spatiotemporal filters are very similar to the human spatiotemporal contrast sensitivity, including the ...
openaire   +3 more sources

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