In recent years, contrastive language-image models such as CLIP have established themselves as a default choice for learning vision representations, particularly in multimodal applications like Visual ...

The Python extension will automatically install the following extensions by default to provide the best Python development experience in VS Code: The Python extension provides pluggable access points ...

Note: *_sem_* representations are based on the classification level (probability distribution) of respective models.

In this paper, we propose a novel Object Adaptive Dense Pre-training (OADP) method to learn the visual representation directly on the multi-instance datasets (e.g., PASCAL VOC and COCO) for dense ...

This important study reports a reanalysis of one experiment of a previously-published report to characterize the dynamics of neural population codes during visual working memory in the presence of ...

In many medical imaging tasks, precise representation of such information is crucial due to the inherently intricate anatomical structures, sub-visual features, and complex boundaries involved.

Temporal cross-decoding generalization between distractor and no-distractor VWM trials. a) Across-participant mean temporal cross-decoding of noise distractor trials when trained on no-distractor ...