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    1. OpenCV: Image file reading and writing

      3 days ago · If the WITH_GDAL flag is set to true in CMake and IMREAD_LOAD_GDAL is used to load the image, the GDAL driver will be used to decode the image, supporting Raster and Vector formats.

    2. Autoencoders for Image Reconstruction and Generation

      2 days ago · Autoencoders for Image Reconstruction and Generation A comprehensive, educational implementation of various autoencoder architectures for image processing. This project …

    3. Introducing Image Analyzer: Decode Images Instantly

      3 days ago · PixelDojo launches Image Analyzer, the ultimate tool to analyze and describe any image. Upload your photos for detailed breakdowns of content, objects, and scenes. Supercharge your …

    4. google/t5gemma-2-1b-1b · Hugging Face

      1 day ago · Different from T5Gemma, this series adopts tied word embeddings (over encoder and decoder) and merged decoder self- and cross-attention to save model parameters. T5Gemma 2 …

    5. T5Gemma 2: The next generation of encoder-decoder models

      1 day ago · T5Gemma 2 is the next evolution of our encoder-decoder family based on Gemma 3, featuring the first multi-modal and long-context encoder-decoder models. Unlike T5Gemma, …

    6. ASCII Tools

      2 days ago · all analysis cipher conversion development documentation edit encode geek generators image jwt qrcode security text transform upload url

    7. A dynamic hybrid network with attention and mamba for image …

      1 day ago · Multi-modal features are handled by an encoder–decoder image caption generation model, where the hybrid encoder combines attention mechanisms and vision mamba blocks to model …

    8. Zune-JPEG — Rust image library // Lib.rs

      5 days ago · The decoder heavily relies on platform specific intrinsics, namely AVX2 and SSE to gain speed-ups in decoding, but they perform poorly in debug builds. To get reasonable performance even …

    9. A New Method for Image Translation - Simple Science

      3 days ago · Original Source Title: ACE: Zero-Shot Image to Image Translation via Pretrained Auto-Contrastive-Encoder Abstract: Image-to-image translation is a fundamental task in computer vision. It …

    10. Generating automated image captions using NLP and computer vision ...

      3 days ago · The idea is to replace the encoder (RNN layer) in an encoder-decoder architecture with a deep convolutional neural network (CNN) trained to classify objects in images. Normally, the CNN's …