Segment anything model for medical image segmentation: Current applications and future directions
Due to the inherent flexibility of prompting, foundation models have emerged as the
predominant force in the fields of natural language processing and computer vision. The …
predominant force in the fields of natural language processing and computer vision. The …
A survey on open-vocabulary detection and segmentation: Past, present, and future
As the most fundamental scene understanding tasks, object detection and segmentation
have made tremendous progress in deep learning era. Due to the expensive manual …
have made tremendous progress in deep learning era. Due to the expensive manual …
Alignsam: Aligning segment anything model to open context via reinforcement learning
Powered by massive curated training data Segment Anything Model (SAM) has
demonstrated its impressive generalization capabilities in open-world scenarios with the …
demonstrated its impressive generalization capabilities in open-world scenarios with the …
Clip as rnn: Segment countless visual concepts without training endeavor
Existing open-vocabulary image segmentation methods require a fine-tuning step on mask
labels and/or image-text datasets. Mask labels are labor-intensive which limits the number of …
labels and/or image-text datasets. Mask labels are labor-intensive which limits the number of …
Maskclustering: View consensus based mask graph clustering for open-vocabulary 3d instance segmentation
Open-vocabulary 3D instance segmentation is cutting-edge for its ability to segment 3D
instances without predefined categories. However progress in 3D lags behind its 2D …
instances without predefined categories. However progress in 3D lags behind its 2D …
[HTML][HTML] Generative ai for visualization: State of the art and future directions
Generative AI (GenAI) has witnessed remarkable progress in recent years and
demonstrated impressive performance in various generation tasks in different domains such …
demonstrated impressive performance in various generation tasks in different domains such …
Open-vocabulary SAM: Segment and recognize twenty-thousand classes interactively
The CLIP and Segment Anything Model (SAM) are remarkable vision foundation models
(VFMs). SAM excels in segmentation tasks across diverse domains, while CLIP is renowned …
(VFMs). SAM excels in segmentation tasks across diverse domains, while CLIP is renowned …
Foundation models in smart agriculture: Basics, opportunities, and challenges
The past decade has witnessed the rapid development and adoption of machine and deep
learning (ML & DL) methodologies in agricultural systems, showcased by great successes in …
learning (ML & DL) methodologies in agricultural systems, showcased by great successes in …
OpenMEDLab: An open-source platform for multi-modality foundation models in medicine
The emerging trend of advancing generalist artificial intelligence, such as GPTv4 and
Gemini, has reshaped the landscape of research (academia and industry) in machine …
Gemini, has reshaped the landscape of research (academia and industry) in machine …
Building Vision-Language Models on Solid Foundations with Masked Distillation
Abstract Recent advancements in Vision-Language Models (VLMs) have marked a
significant leap in bridging the gap between computer vision and natural language …
significant leap in bridging the gap between computer vision and natural language …