🔩 Glass Segmentation with RGB-Thermal Image Pairs

Github: https://github.com/dong-huo/rgb-t-glass-segmentation

Paper: https://arxiv.org/abs/2204.05453v2

Datasett: https://drive.google.com/file/d/1ysG04qGmnZv7UaybZUuyybaJYJLUkNHX/view?usp=sharing


@ai_machinelearning_big_data

Яндекс открывает резидентскую программу по машинному обучению ML Residency.

Ее участники будут проводить исследования и эксперименты в ML, писать научные работы и посещать ведущие конференции.

Подать заявку могут как студенты и аспиранты вузов, так и опытные специалисты в профильных областях: математике, физике, компьютерных науках. Работа в проекте оплачивается.

Узнать подробнее можно здесь.

🌟 Parametric Distributionally Robust Optimization

Github: https://github.com/pmichel31415/P-DRO

Paper: https://arxiv.org/abs/2204.06340v1

Datasett: https://paperswithcode.com/dataset/celeba

@ai_machinelearning_big_data

📲 Deep-significance: Easy and Better Significance Testing for Deep Neural Networks

Github: https://github.com/Kaleidophon/deep-significance

Paper: https://arxiv.org/abs/2204.06815v1

Examples: https://github.com/Kaleidophon/deep-significance#examples

@ai_machinelearning_big_data

🤖 Transformer-Rankers

Transformer-rankers is a library to conduct ranking experiments with transformers.


Code: https://github.com/Guzpenha/transformer_rankers

Paper: https://arxiv.org/abs/2204.10558v1

Colab: https://colab.research.google.com/drive/1wGmaO3emC7Sg-tA7nGehIQ2vjOLN9S5e?usp=sharing

👁 An Extendable, Efficient and Effective Transformer-based Object Detector

Github: https://github.com/naver-ai/vidt

Paper: https://arxiv.org/abs/2204.07962v1

Dataset: https://paperswithcode.com/dataset/coco

@ai_machinelearning_big_data

🌐 DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings


Code: https://github.com/voidism/diffcse

Paper: https://arxiv.org/abs/2204.10298v1

Dataset: https://paperswithcode.com/dataset/sst

@ai_machinelearning_big_data

🌄 NAFSSR: Stereo Image Super-Resolution Using NAFNet

Github: https://github.com/megvii-research/NAFNet

Paper: https://arxiv.org/abs/2204.08714v1

Dataset: https://paperswithcode.com/dataset/kitti

Demo: https://colab.research.google.com/drive/1dkO5AyktmBoWwxBwoKFUurIDn0m4qDXT?usp=sharing

@ai_machinelearning_big_data

🛠 MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

Github: https://github.com/iigroup/maniqa

Paper: https://arxiv.org/abs/2204.08958v1

Dataset: https://paperswithcode.com/dataset/kitti

Demo: https://paperswithcode.com/dataset/pipal-perceptual-iqa-dataset

@ai_machinelearning_big_data

🚰 Simulating Fluids in Real-World Still Images

surface-based layered representation(SLR), which decomposes the fluid and the static objects in the scene, to better synthesize the animated videos from a single fluid imagе

Code: https://github.com/generalizable-neural-performer/gnr

Paper: http://arxiv.org/abs/2204.11335

Project: https://simulatingfluids.github.io/

🚀 TorchSparse: Efficient Point Cloud Inference Engine

Github: https://github.com/mit-han-lab/torchsparse

Paper: https://arxiv.org/abs/2204.10319v1

Dataset: https://paperswithcode.com/dataset/nuscenes

Demo: https://paperswithcode.com/dataset/pipal-perceptual-iqa-dataset

@ai_machinelearning_big_data

Мониторинги показывают, что GPU загружены, при этом видно, что они не потребляют электричества. Что делать? Хорошая статья с ответом на этот вопрос.

Будет полезно почитать, даже если вы занимаетесь обучением моделек на домашних GPU.

🔹 Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Github: https://github.com/xiaoyuan1996/AMFMN

Paper: https://arxiv.org/abs/2204.09868v1

Dataset: https://paperswithcode.com/dataset/kitti

@ai_machinelearning_big_data

🧍‍♂ StyleGAN-Human: A Data-Centric Odyssey of Human Generation

human image dataset with over 230K samples capturing diverse poses and textures

Github: https://github.com/stylegan-human/stylegan-human

Demo video: https://youtu.be/nIrb9hwsdcI

Paper: https://arxiv.org/abs/2204.11823v1

Dataset: https://paperswithcode.com/dataset/market-1501

Colab: https://colab.research.google.com/drive/1sgxoDM55iM07FS54vz9ALg1XckiYA2On

@ai_machinelearning_big_data

🧊 Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

Github: https://github.com/dvlab-research/focalsconv

Paper: https://arxiv.org/abs/2204.12463

Dataset: https://paperswithcode.com/dataset/nuscenes


@ai_machinelearning_big_data

🚗 MMRotate: A Rotated Object Detection Benchmark using Pytorch

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

Documentation: https://mmrotate.readthedocs.io/en/latest/

Paper: https://arxiv.org/abs/2204.13317v1

Dataset: https://paperswithcode.com/dataset/dota


@ai_machinelearning_big_data

🔝 OPT (Open Pre-trained Transformers) is a family of NLP models trained on billions of tokens of text obtained from the internet.

175B GPT-3

Github: https://github.com/facebookresearch/metaseq

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01068v2

Dataset: https://paperswithcode.com/dataset/superglue

@ai_machinelearning_big_data

⚡️ EmotionFlow: Capture the Dialogue Level Emotion Transitions

Code: https://github.com/fpcsong/emotionflow

Paper: https://arxiv.org/abs/2204.10298v1

Dataset: https://paperswithcode.com/dataset/meld

@ai_machinelearning_big_data

💬 Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning

Github: https://github.com/osainz59/Ask2Transformers

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01376v1

Dataset: https://paperswithcode.com/dataset/snli

@ai_machinelearning_big_data

📌 Список потрясающих фреймворков, библиотек и программного обеспечения для машинного обучения (по языкам)

Статья

@ai_machinelearning_big_data