News

IEEE13d
Waste Image Segmentation Using Convolutional Neural Network Encoder-Decoder with SegNet Architecture
In this paper, we propose a waste segmentation method using Convolutional Neural Network based on the Encoder-Decoder approach of SegNet architecture [5]. We compare two different setups of the ...
IEEE3d
LightSegmentor: Lightweight Model for Real-time Semantic Segmentation
The compact framework comprises an encoder, termed LightFormer, as well as a decoder. The LightFormer incorporates a novel lightweight channel mixing operation, Unified Light Channel multilayer ...
Design-Reuse14d
Xylon reveals new lossless MJPEG Encoder and Decoder IP Cores
April 21, 2022-- Xylon has just revealed two new IP products for lossless and on-the-fly MJPEG video compression and decompression. New logiJPGE-LS and logiJPGD-LS IP cores from the logicBRICKS by ...
New fully open source vision encoder OpenVision arrives to improve on OpenAI’s Clip, Google’s SigLIP
A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.
Design-Reuse23d
JPEG 2000 decoder 4K Lossless
The JPEG 2000 decoder 4K Lossless supports any image format up to 4K with color depth up to 16 bit per component and lossless compression. The JPEG 2000 decoder 4K Lossless pays special attention in ...
GitHub27d
The intent of this project is to train encoder using noise contrastive estimation on a large dataset. Then use this pre trained encoder in a segmentation model. Train only the ...
For training unsupervised NCE all 6499 images from train set have been used. For Segmentation, contours were created as in .csv files. The images, contours and masks can be found in Segmented Dataset ...
GitHub25d
Image-segmentation-for-medical-images
This code is valuable for researchers and developers in the medical image analysis field ... Display high-density structures like bones Lung Segmentation: The lungs are segmented using the ...