GalleriaJS/galleria
The JavaScript Image Gallery (⭐ 1733)
Unifying Sunyaev-Zel'dovich and X-ray predictions from clusters to galaxy groups…
One of the main limitations in precision cluster cosmology arises from systematic errors and uncertainties in estimating cluster masses. Using the Mock-X pipeline, we produce synthetic X-ray images and derive cluster and galaxy group X-ray properties...
Whitten Homes 24 Critchett Rd Jaffrey 03249 New-Hampshire www
Map multiple locations, get transit/walking/driving directions, view live traffic conditions, plan trips, view satellite, aerial and 3d imagery. Do more with Bing Maps.
Jounce/Surge
A Swift library that uses the Accelerate framework to provide high-performance functions for matrix math, digital signal processing, and image manipulation. (⭐ 5304)
Learning Answer Embeddings for Visual Question Answering
We propose a novel probabilistic model for visual question answering (Visual QA). The key idea is to infer two sets of embeddings: one for the image and the question jointly and the other for the answers. The learning objective is to learn the best p...
lipiji/PG_BOW_DEMO
Image Classification using Bag of Words and Spatial Pyramid BoW (⭐ 110)
replicate/scribble-diffusion
Turn your rough sketch into a refined image using AI (⭐ 2983)
A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection
Bolt defect detection is critical to ensure the safety of transmission lines. However, the scarcity of defect images and imbalanced data distributions significantly limit detection performance. To address this problem, we propose a segmentationdriven...
NPU-BOLT: A Dataset for Bolt Object Detection in Natural Scene Images
Bolt joints are very common and important in engineering structures. Due to extreme service environment and load factors, bolts often get loose or even disengaged. To real-time or timely detect the loosed or disengaged bolts is an urgent need in prac...
Review and Test of Steganography Techniques
Steganography is the art of concealing a secret message within an appropriate-multimedia carrier such as images, audio, video files, and even network packets. Steganographic techniques have been used since ancient times to hide the message from third...
Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
Add or edit text & images - Sites Help - Google Help
Format your text You can change how your text looks, add numbered or bulleted lists, or insert links in Google Sites. Highlight the text, or click where you want to insert a list or link. In the menu at the top, …
dsys/match
:crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch (⭐ 1262)
Beckschen/TransUNet
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. (⭐ 3113)
codrops/ImagePixelLoading
A recreation of the on-scroll pixelated image loading effect seen on Felicity Ingram's website (⭐ 97)
Fixing JPG Upload Error on IngramSpark: Q&A Guide - JustAnswer
Parsing errors during JPG upload typically stem from embedded metadata or incorrect file formatting. To fix this, open the image in an editor like Photoshop or Canva, remove any unnecessary metadata or …
Understanding Stain Separation Improves Cross-Scanner Adenocarcinoma Segmentatio…
Digital pathology has made significant advances in tumor diagnosis and segmentation, but image variability due to differences in organs, tissue preparation, and acquisition - known as domain shift - limits the effectiveness of current algorithms. The...
Domain-stratified Training for Cross-organ and Cross-scanner Adenocarcinoma Segm…
This manuscript presents an image segmentation algorithm developed for the Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation (COSAS 2024) challenge. We adopted an organ-stratified and scanner-stratified approach to train multiple Upernet-base...
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
Due to the limited scale and quality of video-text training corpus, most vision-language foundation models employ image-text datasets for pretraining and primarily focus on modeling visually semantic representations while disregarding temporal semant...
Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation
This short abstract describes a solution to the COSAS 2024 competition on Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation from histopathological image patches. The main challenge in the task of segmenting this type of cancer is a noticeable...