IISAN: Efficiently adapting multimodal representation for sequential recommendation with decoupled PEFT
Multimodal foundation models are transformative in sequential recommender systems,
leveraging powerful representation learning capabilities. While Parameter-efficient Fine …
leveraging powerful representation learning capabilities. While Parameter-efficient Fine …
Open Panoramic Segmentation
Abstract Panoramic images, capturing a 360\(^\circ\) field of view (FoV), encompass
omnidirectional spatial information crucial for scene understanding. However, it is not only …
omnidirectional spatial information crucial for scene understanding. However, it is not only …
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation
CLIP has demonstrated marked progress in visual recognition due to its powerful pre-
training on large-scale image-text pairs. However it still remains a critical challenge: how to …
training on large-scale image-text pairs. However it still remains a critical challenge: how to …
BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation
Semantic scene segmentation from a bird's-eye-view (BEV) perspective plays a crucial role
in facilitating planning and decision-making for mobile robots. Although recent vision-only …
in facilitating planning and decision-making for mobile robots. Although recent vision-only …
LLMFormer: Large Language Model for Open-Vocabulary Semantic Segmentation
Open-vocabulary (OV) semantic segmentation has attracted increasing attention in recent
years, which aims to recognize objects in an open class set for real-world applications …
years, which aims to recognize objects in an open class set for real-world applications …
Laddering vision foundation model for remote sensing image change detection
Y Liu, G Zhou - Journal of Applied Remote Sensing, 2024 - spiedigitallibrary.org
This paper proposes a novel laddering vision foundation model for change detection (CD) of
remote sensing images. Current approaches have limitations in simultaneously extracting …
remote sensing images. Current approaches have limitations in simultaneously extracting …
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?
Foundation models pre-trained on web-scale vision-language data, such as CLIP, are
widely used as cornerstones of powerful machine learning systems. While pre-training offers …
widely used as cornerstones of powerful machine learning systems. While pre-training offers …
Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV2
B Liang, F Peng, D Luo, Q Zeng, H Wen… - BMC Medical Informatics …, 2024 - Springer
Background Accurate segmentation of critical anatomical structures in fetal four-chamber
view images is essential for the early detection of congenital heart defects. Current prenatal …
view images is essential for the early detection of congenital heart defects. Current prenatal …
SegEarth-OV: Towards Traning-Free Open-Vocabulary Segmentation for Remote Sensing Images
Remote sensing image plays an irreplaceable role in fields such as agriculture, water
resources, military, and disaster relief. Pixel-level interpretation is a critical aspect of remote …
resources, military, and disaster relief. Pixel-level interpretation is a critical aspect of remote …
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
Multimodal foundation models (MFMs) have revolutionized sequential recommender
systems through advanced representation learning. While Parameter-efficient Fine-tuning …
systems through advanced representation learning. While Parameter-efficient Fine-tuning …