Linking pages
- GitHub - caoscott/SReC: PyTorch Implementation of "Lossless Image Compression through Super-Resolution" https://github.com/caoscott/SReC 125 comments
- GitHub - mahyarnajibi/SNIPER: SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm https://github.com/mahyarnajibi/SNIPER 33 comments
- GitHub - astorfi/Deep-Learning-Roadmap: Organized Resources for Deep Learning Researchers and Developers https://github.com/astorfi/Deep-Learning-World 22 comments
- Uncovering Unknown Unknowns in Machine Learning – Google AI Blog https://ai.googleblog.com/2021/02/uncovering-unknown-unknowns-in-machine.html 20 comments
- Fine Tuning YOLOv5 - Custom Object Detection Training https://learnopencv.com/custom-object-detection-training-using-yolov5/?ck_subscriber_id=1373562521#Custom-Object-Detection-Training-using-YOLOv5 10 comments
- Open-Sourcing BiT: Exploring Large-Scale Pre-training for Computer Vision – Google AI Blog https://ai.googleblog.com/2020/05/open-sourcing-bit-exploring-large-scale.html 6 comments
- Faster R-CNN (object detection) implemented by Keras for custom data from Google’s Open Images Dataset V4 | by Yinghan Xu | Towards Data Science https://towardsdatascience.com/faster-r-cnn-object-detection-implemented-by-keras-for-custom-data-from-googles-open-images-125f62b9141a 6 comments
- GitHub - fizyr/keras-retinanet: Keras implementation of RetinaNet object detection. https://github.com/fizyr/keras-retinanet 5 comments
- GitHub - CompVis/latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models https://github.com/CompVis/latent-diffusion 5 comments
- State of the art in LLMs + Robotics - 2023 - hlfshell https://hlfshell.ai/posts/llms-and-robotics-papers-2023/ 4 comments
- ck/sc22-scc-mlperf.md at master · mlcommons/ck · GitHub https://github.com/mlcommons/ck/blob/master/docs/tutorials/sc22-scc-mlperf.md 1 comment
- Responsible AI at Google Research: Perception Fairness – Google Research Blog https://ai.googleblog.com/2023/08/responsible-ai-at-google-research.html 1 comment
- Analyzing Computer Vision Model Performance Like a Pro | by Manpreet Singh Minhas | Towards Data Science https://towardsdatascience.com/analyzing-computer-vision-model-performance-like-a-pro-dbb3e3e92b64?sk=1739590391baa9e2e8b8911a478f7d72 0 comments
- Announcing the 2020 Image Matching Benchmark and Challenge – Google AI Blog https://ai.googleblog.com/2020/04/announcing-2020-image-matching.html 0 comments
- Adapting computer vision models for time series and automated EEG review | by Tim Esler | Brain Waves | Medium https://medium.com/seer-medical/adapting-computer-vision-models-for-time-series-and-automated-eeg-review-66ff20c1bf9 0 comments
- Deep-Learning-Roadmap/README.rst at master · astorfi/Deep-Learning-Roadmap · GitHub https://github.com/astorfi/Deep-Learning-World/blob/master/README.rst 0 comments
- GitHub - instillai/deep-learning-roadmap: All You Need to Know About Deep Learning - A kick-starter https://github.com/osforscience/deep-learning-comprehensive-resources 0 comments
- Visual Transfer Learning for Robotic Manipulation – Google AI Blog https://ai.googleblog.com/2020/03/visual-transfer-learning-for-robotic.html 0 comments
- Announcing Open Images V4 and the ECCV 2018 Open Images Challenge – Google AI Blog https://research.googleblog.com/2018/04/announcing-open-images-v4-and-eccv-2018.html 0 comments
- Announcing the Objectron Dataset – Google AI Blog https://ai.googleblog.com/2020/11/announcing-objectron-dataset.html 0 comments
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