#deepconvolutionalneuralnetworks 搜尋結果

🔥 Read our Paper 📚PSI Analysis of Adversarial-Attacked #DCNN Models 🔗mdpi.com/2076-3417/13/1… 👨‍🔬by Youngseok Lee et al. 🏫Chungwoon University; Sangmyung University #deepconvolutionalneuralnetworks #populationsparsenessindex

#Article Using Deep Convolutional Neural Network for Image-Based Diagnosis of Nutrient Deficiencies in Plants Grown in Aquaponics by Mohamed Farag Taha, et al. doi.org/10.3390/chemos… @MDPIOpenAccess @ZJU_China @UofMaryland #deepconvolutionalneuralnetworks #imageprocessing

A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance mdpi.com/1424-8220/22/6… @FEI_online #deepconvolutionalneuralnetworks #underwateracoustics; #objectsclassification

#AgricultureMdpi – Editor's Choice Article Potato Surface Defect Detection Based on Deep Transfer Learning by Chenglong Wang et al. Link: doi.org/10.3390/agricu… #potatosurfacedefectdetection #deepconvolutionalneuralnetworks #SSD #fasterRCNN #objectdetection

#mostcited 📢SFRS-Net: A Cloud-Detection Method Based on #DeepConvolutionalNeuralNetworks for GF-1 #RemoteSensing Images by Xiaolong Li, Hong Zheng, Chuanzhao Han, Wentao Zheng, Hao Chen, Ying Jing and Kaihan Dong 👉 Read the full article: mdpi.com/2072-4292/13/1…

#highlycitedpaper A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance mdpi.com/1424-8220/22/6… @Flinders #DeepConvolutionalNeuralNetworks #UnderwaterAcoustics

Footprints of a Vicious Dinosaur? Artificial Intelligence Disagrees bit.ly/3hMewgh #PrehistoricHunters #ArtificialIntelligence #DeepConvolutionalNeuralNetworks #AIResearch #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

Practical #MachineLearning for #ComputerVision — End-to-End ML for Images: amzn.to/4ajfVSf ———— #BigData #DataScience #AI #DeepLearning #NeuralNetworks

DeepSeek-OCR is out! 🔥 my take ⤵️ > pretty insane it can parse and re-render charts in HTML > it uses CLIP and SAM features concatenated, so better grounding > very efficient per vision tokens/performance ratio > covers 100 languages

This is the JPEG moment for AI. Optical compression doesn't just make context cheaper. It makes AI memory architectures viable. Training data bottlenecks? Solved. - 200k pages/day on ONE GPU - 33M pages/day on 20 nodes - Every multimodal model is data-constrained. Not anymore.…

i’ve tested 99% of AI image generation methods since i started making these videos... 99% of outputs are slop, but me and my team have discovered a few really good frameworks that let’s us create extremely tasteful and high quality images We train our images off of the…

BOOOOOOOM! CHINA DEEPSEEK DOES IT AGAIN! An entire encyclopedia compressed into a single, high-resolution image! — A mind-blowing breakthrough. DeepSeek-OCR, unleashed an electrifying 3-billion-parameter vision-language model that obliterates the boundaries between text and…

🚨 DeepSeek just did something wild. They built an OCR system that compresses long text into vision tokens literally turning paragraphs into pixels. Their model, DeepSeek-OCR, achieves 97% decoding precision at 10× compression and still manages 60% accuracy even at 20×. That…

Summary chart of deep learning neural networks

hey bro i trained a new resolution upscaling neural network check it out

Convolutional Neural Networks | Deep Learning

🚀 DeepSeek-OCR — the new frontier of OCR from @deepseek_ai , exploring optical context compression for LLMs, is running blazingly fast on vLLM ⚡ (~2500 tokens/s on A100-40G) — powered by vllm==0.8.5 for day-0 model support. 🧠 Compresses visual contexts up to 20× while keeping…

Gm everyone 🌞 Made with code using #processing and shaders #generativeart

This architecture represents how a Convolutional Neural Network (CNN) transforms raw images into intelligent predictions. Through layers of Convolution, ReLU, Pooling, and Fully Connected Networks, it learns to see, understand, and classify — just like the human brain.

Practical #MachineLearning for #ComputerVision — End-to-End ML for Images: amzn.to/4ajfVSf ———— #ML #DataScience #AI #DeepLearning #NeuralNetworks #DataScientist

A more serious thread on the DeepSeek-OCR hype / serious misinterpretation going on. 1. On token reduction via representing text in images, researchers from Cambridge have previously shown that 500x prompt token compression is possible (ACL'25, Li, Su, and Collier). Without…

DeepSeek-OCR looks impressive, but its core idea is not new. Input “Text” as “Image” — already explored by: LANGUAGE MODELING WITH PIXELS (Phillip et al., ICLR 2023) CLIPPO: Image-and-Language Understanding from Pixels Only (Michael et al. CVPR 2023) Pix2Struct: Screenshot…

Image super-resolution and restoration tool using deep learning models

what a bold direction by deepseek once again. they took "a picture is worth a thousand words" literally or the idea of "photographic memory" if i am to commit the crime of anthropomorphisation.

Hey, I think this image you used is actually an ai generated image. So here are some real examples you could use instead /nm

Introducing DINOv3 🦕🦕🦕 A SotA-enabling vision foundation model, trained with pure self-supervised learning (SSL) at scale. High quality dense features, combining unprecedented semantic and geometric scene understanding. Three reasons why this matters…