"milestone", "promptable segmentation", "segment anything model, sam"2022Global Spectral Filter Memory Network ECCV 2022 [paper] [code](Mask2Former) Masked-attention Mask Transformer for Universal Image Segmentation CVPR 2022 [arXiv paper] [code]...
Our continuous visual experience in daily life is dominated by change. Previous research has focused on visual change due to stimulus motion, eye movements or unfolding events, but not their combined impact across the brain, or their interactions with se
Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A. C., Lo, W.-Y., et al. (2023). Segment anything. InICCV. Krähenbühl, P. and Koltun, V. (2011). Efficient inference in fully connected crfs with gaussian...
RDF is a standard model that uses machine-understandable metadata to describe the type and relation of any Web resource, which can be anything that has an identity, such as a document, a person, a datum, or an operation. RDF uses an abstract model to decompose information into small pieces...
This is why current recommendation methods are very quick to put users into very small groups of recommendations; they assume that anything you haven’t interacted with is something you don’t like, instead of simply being something you haven’t had the chance to interact with yet. This is ...
Therefore, SLAM was performed in stereo mode, and the drivable region was confirmed through depth estimation. In the depth-estimation process, the Depth Anything [56] model was utilized. Through the evaluation of these two datasets, we demonstrated that the proposed method is effective in large-...
Semantic labeling of very high-resolution remote sensing images (VHRRSI) has emerged as a crucial research area in remote sensing image interpretation. However, challenges arise due to significant variations in target orientation and scale, particularly for small targets that are more prone to obscurat...
4.1. Segment Anything Model (SAM) The Segment Anything Model (SAM) [167] was developed by the Meta AI Research team as an automated image segmentation model. It is based on foundation models and operates with a high level of automation and requires minimal human assistance. Foundation models ...