A survey of ai-generated content (aigc)
Recently, Artificial Intelligence Generated Content (AIGC) has gained significant attention
from society, especially with the rise of Generative AI (GAI) techniques such as ChatGPT …
from society, especially with the rise of Generative AI (GAI) techniques such as ChatGPT …
Unleashing the potential of sam2 for biomedical images and videos: A survey
The unprecedented developments in segmentation foundational models have become a
dominant force in the field of computer vision, introducing a multitude of previously …
dominant force in the field of computer vision, introducing a multitude of previously …
Polyp sam 2: Advancing zero shot polyp segmentation in colorectal cancer detection
M Mansoori, S Shahabodini, J Abouei… - arXiv preprint arXiv …, 2024 - arxiv.org
Polyp segmentation plays a crucial role in the early detection and diagnosis of colorectal
cancer. However, obtaining accurate segmentations often requires labor-intensive …
cancer. However, obtaining accurate segmentations often requires labor-intensive …
Ttt-unet: Enhancing u-net with test-time training layers for biomedical image segmentation
Biomedical image segmentation is crucial for accurately diagnosing and analyzing various
diseases. However, Convolutional Neural Networks (CNNs) and Transformers, the most …
diseases. However, Convolutional Neural Networks (CNNs) and Transformers, the most …
SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor Detection
J Wei, Y Li, X Fan, W Ma, M Qiu, H Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Laryngo-pharyngeal cancer (LPC) is a highly lethal malignancy in the head and neck
region. Recent advancements in tumor detection, particularly through dual-branch network …
region. Recent advancements in tumor detection, particularly through dual-branch network …
Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation
Segment Anything Model (SAM) has demonstrated powerful zero-shot segmentation
performance in natural scenes. The recently released Segment Anything Model 2 (SAM2) …
performance in natural scenes. The recently released Segment Anything Model 2 (SAM2) …
Unconstrained Salient and Camouflaged Object Detection
Visual Salient Object Detection (SOD) and Camouflaged Object Detection (COD) are two
interrelated yet distinct tasks. Both tasks model the human visual system's ability to perceive …
interrelated yet distinct tasks. Both tasks model the human visual system's ability to perceive …
On Efficient Variants of Segment Anything Model: A Survey
The Segment Anything Model (SAM) is a foundational model for image segmentation tasks,
known for its strong generalization across diverse applications. However, its impressive …
known for its strong generalization across diverse applications. However, its impressive …