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Foundation Models Defining a New Era in Vision: a Survey and Outlook
Vision systems that see and reason about the compositional nature of visual scenes are
fundamental to understanding our world. The complex relations between objects and their …
fundamental to understanding our world. The complex relations between objects and their …
Foundational models in medical imaging: A comprehensive survey and future vision
Foundation models, large-scale, pre-trained deep-learning models adapted to a wide range
of downstream tasks have gained significant interest lately in various deep-learning …
of downstream tasks have gained significant interest lately in various deep-learning …
Multimodal foundation models: From specialists to general-purpose assistants
Neural compression is the application of neural networks and other machine learning
methods to data compression. Recent advances in statistical machine learning have opened …
methods to data compression. Recent advances in statistical machine learning have opened …
[HTML][HTML] The segment anything model (sam) for remote sensing applications: From zero to one shot
Segmentation is an essential step for remote sensing image processing. This study aims to
advance the application of the Segment Anything Model (SAM), an innovative image …
advance the application of the Segment Anything Model (SAM), an innovative image …
Remoteclip: A vision language foundation model for remote sensing
General-purpose foundation models have led to recent breakthroughs in artificial
intelligence (AI). In remote sensing, self-supervised learning (SSL) and masked image …
intelligence (AI). In remote sensing, self-supervised learning (SSL) and masked image …
Graphadapter: Tuning vision-language models with dual knowledge graph
Adapter-style efficient transfer learning (ETL) has shown excellent performance in the tuning
of vision-language models (VLMs) under the low-data regime, where only a few additional …
of vision-language models (VLMs) under the low-data regime, where only a few additional …
Vision language models in autonomous driving: A survey and outlook
The applications of Vision-Language Models (VLMs) in the field of Autonomous Driving (AD)
have attracted widespread attention due to their outstanding performance and the ability to …
have attracted widespread attention due to their outstanding performance and the ability to …
Position: What can large language models tell us about time series analysis
Time series analysis is essential for comprehending the complexities inherent in various real-
world systems and applications. Although large language models (LLMs) have recently …
world systems and applications. Although large language models (LLMs) have recently …
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
The development of large vision-language models notably CLIP has catalyzed research into
effective adaptation techniques with a particular focus on soft prompt tuning. Conjointly test …
effective adaptation techniques with a particular focus on soft prompt tuning. Conjointly test …
Low-rank few-shot adaptation of vision-language models
Recent progress in the few-shot adaptation of Vision-Language Models (VLMs) has further
pushed their generalization capabilities at the expense of just a few labeled samples within …
pushed their generalization capabilities at the expense of just a few labeled samples within …