Computer Science and Programming

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Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science

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Computer Science and Programming (@computer_science_and_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 142 757 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 815-o'rinni va Italiya mintaqasida 87-o'rinni egallagan.

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Postlar arxiv

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Paper: https://arxiv.org/pdf/2107.10833v1.pdf Github: https://github.com/xinntao/Real-ESRGAN Colab demo: https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing 👉@computer_science_and_programming

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Practical image restoration Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data 👉@computer_science_and_programming

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A simpler design but better performance! It aims to bridge the gap between research and industrial communities. Paper: https://arxiv.org/pdf/2107.08430v1.pdf Github: https://github.com/Megvii-BaseDetection/YOLOX 👉@computer_science_and_programming

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YOLOX: Exceeding YOLO Series in 2021 Anchor-free version of YOLO series Won the 1st Place on Streaming Perception Challenge (Workshop on Autonomous Driving at CVPR 2021)

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SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping Paper: https://arxiv.org/pdf/2105.07014.pdf Video: https://www.youtube.com/watch?v=W7NCbfZp6QE Code: https://github.com/google-research/google-research/tree/master/smurf 👉 @computer_science_and_programming

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From Google and Waymo researchers: The self-/unsupervised revolution is near! Unsupervised optical flow model SMURF improves SOTA by 40% and beats many supervised methods such as PWC-Net and FlowNet2 👉 @computer_science_and_programming

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All Open Access Papers: https://openaccess.thecvf.com/CVPR2021

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It's CVPR 2021 time!

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Paper: https://arxiv.org/pdf/2106.13797v2.pdf Github: https://github.com/whai362/PVT

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PVTv2: Improved Baselines with Pyramid Vision Transformer ✅ Classification ✅ Detection ✅ Segmentation

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Paper: https://arxiv.org/pdf/2106.02034.pdf Github: https://github.com/raoyongming/DynamicViT Project page: https://dynamicvit.ivg-research.xyz/

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DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

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Paper: https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/resource/SIGGRAPH_2020_Light_Field_Authors_version.pdf Code: https://github.com/Turmac/light_field_synthesis Project page: https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/index.html Dataset: https://drive.google.com/file/d/1oHywOJAAYm8YrSH5mDubjTAwN8jrCC9y/view

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Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion

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500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲 https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

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Great resource of AI, Machine learning, Deep learning, Computer vision, NLP Projects and Courses with code

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Github: https://github.com/OlafenwaMoses/DeepStack_ExDark Documentation: https://docs.deepstack.cc/index.html#installation Custom dataset preparation: https://docs.deepstack.cc/custom-models/datasetprep/index.html Training custom model: https://docs.deepstack.cc/custom-models/training/index.html

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Dark scene object detection API for detecting 12 common objects in the dark/night images and videos

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🔥 Self-Supervised Vision Transformers with DINO Blogpost: https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training/ Paper: https://arxiv.org/pdf/2104.14294.pdf Code: https://github.com/facebookresearch/dino