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Channel specialized for research advances of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science, * Papers and implementations * Python Suggestions:  @Abdulaziz_Gaibulayev  
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8-bit optimizers – a replacement for regular optimizers. 🚀, 75% less memory, same with upwards trend, no hyperparam tuning needed Input symbol for numbers: #Lightweight, #LessMemory
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PASS: Pictures without humAns for Self-Supervised Pretraining PASS is a large-scale image dataset that does not include any humans, human parts, or other personally identifiable information Github https://github.com/yukimasano/PASS Paper https://arxiv.org/abs/2109.13228v1 Dataset https://paperswithcode.com/dataset/pass Documentation https://www.robots.ox.ac.uk/~vgg/research/pass/

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Code: https://github.com/gist-ailab/uoais#unseen-object-amodal-instance-segmentation-uoais Paper: https://arxiv.org/abs/2109.11103 Dataset: https://paperswithcode.com/dataset/ocid Project page: https://sites.google.com/view/uoais 👉@computer_science_and_programming
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Paper:

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Unseen Object Amodal Instance Segmentation (UOAIS)

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Paper (ICCV2021): https://arxiv.org/pdf/2109.04425v1.pdf Github: https://github.com/yumingj/Talk-to-Edit Dataset: https://drive.google.com/drive/folders/18nejI_hrwNzWyoF6SW8bL27EYnM4STAs 👉@computer_science_and_programming
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Now we can generate the faces with just with talking
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Paper: https://arxiv.org/pdf/2108.11250v1.pdf Github: https://github.com/hustvl/YOLOP
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You Only 👀 Once for Panoptic 🚙 Perception
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Paper: https://arxiv.org/pdf/2105.06993.pdf Github: https://github.com/erikalu/omnimatte Project Page: https://omnimatte.github.io/ Supplimentary material: https://omnimatte.github.io/supplementary/index.html Explained: https://www.youtube.com/watch?v=lCBSGOwV-_o 👉@computer_science_and_programming
GitHub - erikalu/omnimatte
Contribute to erikalu/omnimatte development by creating an account on GitHub.
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Now removing, duplicating or enhancing objects in video is more realistic with the assist of AI "We need to talk about the car in the room." This paper: what car? 🙈

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Paper: https://arxiv.org/pdf/2103.14030.pdf Github: https://github.com/SwinTransformer/Swin-Transformer-Object-Detection Demo: https://www.youtube.com/watch?v=FQVS_0Bja6o 👉@computer_science_and_programming
GitHub - SwinTransformer/Swin-Transformer-Object-Detection: This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation. - GitHub - SwinTran...
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Swin transformer for : ✔️ Object detection ✔️ Image Classification ✔️ Semantic Segmentation ✔️ Video Recognition
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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
whai362/PVT
Contribute to whai362/PVT development by creating an account on GitHub.
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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
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code - 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
OlafenwaMoses/DeepStack_ExDark
A DeepStack custom model for detecting common objects in dark/night images and videos. - OlafenwaMoses/DeepStack_ExDark
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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

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Advancing the state of the art in computer vision with self-supervised Transformers and 10x more efficient training

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CS224W: Machine Learning with Graphs - Stanford / Winter 2021 https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW Full Stack Deep Learning - Spring 2021 - UC Berkeley https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9 Introduction to Deep Learning (I2DL) - Technical University of Munich https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk 3D Computer Vision - National University of Singapore - 2021 https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ CV3DST - Computer Vision 3: Detection, Segmentation and Tracking https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe ADL4CV - Advanced Deep Learning for Computer Vision https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz
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CS224W: Machine Learning with Graphs - Stanford / Winter 2021 - YouTube
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2021- Courses List of Machine Learning, Deep Learning, and Computer Vision from a top school

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