I'm AI names colors much as humans do

https://ai.facebook.com/blog/ai-names-colors-much-as-humans-do/

Paper: https://www.pnas.org/content/118/12/e2016569118

Code: https://github.com/rahmacha/EGG
👉 @bigdata_1

🎨 Paint Transformer: Feed Forward Neural Painting with Stroke Prediction

Github: https://github.com/huage001/painttransformer

Paper: https://arxiv.org/abs/2108.03798

Paddle Implementation: https://github.com/PaddlePaddle/PaddleGAN
👉 @bigdata_1

Tune XGBoost Performance With Learning Curves

https://machinelearningmastery.com/tune-xgboost-performance-with-learning-curves/
👉 @bigdata_1

🧹 Overview of data cleaning methods

https://habr.com/ru/company/ru_mts/blog/571606/
👉 @bigdata_1

OTA: Optimal Transport Assignment for Object Detection

Github: https://github.com/Megvii-BaseDetection/OTA

Paper: http://arxiv.org/abs/2103.14259
👉 @bigdata_1

⚪ SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation (SIGGRAPH 2021)

Github: https://github.com/liruihui/sp-gan

Paper: https://arxiv.org/abs/2108.04476v1

Project: https://liruihui.github.io/publication/SP-GAN/
👉 @bigdata_1

Changing the Mind of Transformers for Topically-Controllable Language Generation

Github: https://github.com/iesl/interactive_LM

Paper: https://arxiv.org/abs/2103.15335v1
👉 @bigdata_1

ESPnet: end-to-end speech processing toolkit

Github: https://github.com/espnet/espnet

Paper: https://arxiv.org/abs/2107.09011v2

Notebook: https://github.com/espnet/notebook
👉 @bigdata_1

Symbolic Music Generation with Diffusion Models

Github: https://github.com/magenta/symbolic-music-diffusion

Paper: https://arxiv.org/abs/2103.16091v1
👉 @bigdata_1

Multiscale Vision Transformers: A hierarchical architecture for representing image and video information

Facebook blog: https://ai.facebook.com/blog/multiscale-vision-transformers-an-architecture-for-modeling-visual-data/

Code: https://github.com/facebookresearch/SlowFast

Pytorch video: https://github.com/facebookresearch/pytorchvideo

Paper: https://arxiv.org/abs/2104.11227
👉 @bigdata_1

В университете Мэриленда создали плащ-невидимку

ИИ обучены распознавать объекты, а принт на свитере мешает это делать, используя AML-методы.

https://bookflow.ru/v-universitete-merilenda-sozdali-plashh-nevidimku/

#news @itmozg

How to Perform Malaria Classification using TensorFlow 2 and Keras in Python

https://www.thepythoncode.com/article/malaria-cells-classification


👉 @bigdata_1

Oriented R-CNN for Object Detection

Github: https://github.com/jbwang1997/OBBDetection

BboxToolkit: https://github.com/jbwang1997/BboxToolkit

Paper: https://arxiv.org/abs/2104.11227
👉 @bigdata_1

Easy, Open-Source AutoML in Python with EvalML

https://innovation.alteryx.com/introducing-evalml/
👉 @bigdata_1

⏺ Towards Interpretable Deep Metric Learning with Structural Matching

Github: https://github.com/wl-zhao/diml

Paper: https://arxiv.org/abs/2108.05889v1

RevisitDML: https://github.com/wl-zhao/diml
👉 @bigdata_1

The surprising impact of mask-head architecture on novel class segmentation

Github: https://github.com/zeliu98/Group-Free-3D

Paper: https://arxiv.org/abs/2104.00678v1
👉 @bigdata_1

👁 MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition

Github: https://github.com/open-mmlab/mmocr

Paper: https://arxiv.org/abs/2108.06543v1

Documentation: https://mmocr.readthedocs.io/en/latest/
👉 @bigdata_1

Guide To PyOD: A Python Toolkit For Outlier Detection

https://analyticsindiamag.com/guide-to-pyod-a-python-toolkit-for-outlier-detection/

👉 @bigdata_1

💡 X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics

Github: https://github.com/yehli/xmodaler

Paper: https://arxiv.org/abs/2108.08217v1

Project: https://xmodaler.readthedocs.io/en/latest/
👉 @bigdata_1

Hypercorrelation Squeeze for Few-Shot Segmentation

Github: https://github.com/juhongm999/hsnet

Paper: https://arxiv.org/abs/2104.01538v1

Project: http://cvlab.postech.ac.kr/research/HSNet/
👉 @bigdata_1