Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.
The design and implementation of unit tests is a complex task many programmers neglect. This resea...
State-of-the-art LiDAR-camera 3D object detectors usually focus on feature fusion. However, they n...
Various multi-instance learning (MIL) based approaches have been developed and successfully applie...
BACKGROUND: Understanding protein-molecular interaction is crucial for unraveling the mechanisms und...
Existing deep learning-based image inpainting methods typically rely on convolutional networks wit...
The Mamba model has recently demonstrated strong potential in hyperspectral image (HSI) classifica...
Electrical Impedance Tomography (EIT) provides a non-invasive, portable imaging modality with sign...
Safety assessment of patients with one-dimensionally structured passive implants, like cranial pla...
Birth weight (BW) is a key indicator of neonatal health, with low birth weight (LBW) linked to inc...
Humans exhibit diverse and expressive whole-body movements. However, attaining human-like whole-bo...
Humans exhibit diverse and expressive whole-body movements. However, attaining human-like whole-bo...
Semi-supervised change detection (SSCD) aims to detect changes between bi-temporal remote sensing ...
Enhancing forward-looking sonar images is critical for accurate underwater target detection. Curre...
Reinforcement Learning from Human/AI Feedback (RLHF/RLAIF) has been extensively utilized for prefe...
Brain decoding currently faces significant challenges in individual differences, modality alignmen...
As the demand for efficient, low-power computing in embedded and edge devices grows, traditional c...
Reference-based sketch colorization methods have garnered significant attention due to their poten...
Recent studies focus on the Remote Sensing Image-Text Retrieval (RSITR), which aims at searching f...
The proliferation of AI-generated content brings significant concerns on the forensic and security...
Knowledge Distillation (KD) compresses neural networks by learning a small network (student) via t...
Category-agnostic pose estimation aims to locate keypoints on query images according to a few anno...