Results 101 to 110 of about 596,937 (313)

Probabilistic Language-Image Pre-Training

CoRR
Code: https://github.com/naver-ai/prolip HuggingFace Hub: https://huggingface.co/collections/SanghyukChun/prolip-6712595dfc87fd8597350291 33 pages, 4.5 MB; LongProLIP paper: arXiv:2503.08048; Multiplicity paper for more background: arxiv.org:2505.19614; v4: fix ...
Sanghyuk Chun, Wonjae Kim, Song Park, Sangdoo Yun   +3 more
openaire   +3 more sources

Training Sample Selection Based on SAR Images Quality Evaluation With Multi-Indicators Fusion

IET Signal Processing
In recent years, with the development of artificial neural networks, efficiently training models for synthetic aperture radar (SAR) image classification tasks has garnered significant attention from researchers.
Pengcheng Wang, Huanyu Liu, Junbao Li
doaj   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Recover User's Private Training Image Data by Gradient in Federated Learning. [PDF]

Sensors (Basel), 2022
Gong H, Jiang L, Liu X, Wang Y, Wang L, Zhang K.   +5 more
europepmc   +1 more source

Image Auto-annotation using 'Easy' and 'More Challenging' Training Sets

, 2006
The Corel Image set is widely used for image annotation performance evaluation although it has been claimed that the set is easy to annotate. The aim of this paper is to demonstrate some of the disadvantages of sets like the Corel set for effective auto ...
Tang, Jiayu, Lewis, Paul H.
core  

Automatic Construction of Accurate Image Processing using AdaBoost [PDF]

, 2009
Image processing and recognition technologies are required to solve various problems. We have already proposed the system which automatically constructs image processing with Genetic Programming (GP), Automatic Construction of Tree-structural Image ...
Ando, Jun, Nagao, Tomoharu
core  

On-line re-training and segmentation with reduction of the training set: application to the left ventricle detection in ultrasound imaging

, 2012
The segmentation of the left ventricle (LV) still constitutes an active research topic in medical image processing field. The problem is usually tackled using pattern recognition methodologies.
Jacinto C. Nascimento, Nascimento, J., Carneiro, G., Gustavo Carneiro   +3 more
core   +1 more source

The C‐terminal region of KIF26B is indispensable for nephron progenitor condensation and kidney formation in mice

FEBS Open Bio, EarlyView.
KIF26B plays an important role in kidney development. We engineered mice lacking the C‐terminal region of KIF26B and found severe kidney defects, including bilateral renal agenesis, similar to full Kif26b knockout mice. The mutation disrupted nephron progenitor condensation and reduced Gdnf‐Wnt11 signaling, showing that the KIF26B C‐terminal region is ...
Yuta Yamamura, Kengo Furuichi, Hiromitsu Akamatsu, Naoki Yamamoto, Sako Keisuke, Akihiko Koshino, Taichiro Minami, Megumi Oshima, Akinori Hara, Norihiko Sakai, Miho Shimizu, Kenta Takahashi, Minako Yamamura, Shin‐ichi Horike, Takiko Daikoku, Kenichi Harada, Yohei Shinmyo, Hiroshi Kawasaki, Takashi Wada, Yasunori Iwata   +19 more
wiley   +1 more source

Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics. [PDF]

Math Geosci, 2021
Yao L, Dimitrakopoulos R, Gamache M.
europepmc   +1 more source

Dynamic image-to-class warping for occluded face recognition

, 2014
Face recognition (FR) systems in real-world applications need to deal with a wide range of interferences, such as occlusions and disguises in face images.
Lei, Zhen, Yi, Dong, Li, S. Z., Wei, Xingjie, Li, Chang-Tsun   +4 more
core   +1 more source