🔝 Omnivore: A Single Model for Many Visual Modalities

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

Code: https://github.com/facebookresearch/omnivore/blob/main/inference_tutorial.ipynb

Paper: https://arxiv.org/abs/2201.08377

Dataset: https://paperswithcode.com/dataset/epic-kitchens-100

@ArtificialIntelligencedl

Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations

Github: https://github.com/google-research-datasets/Objectron

Code: https://github.com/facebookresearch/omnivore/blob/main/inference_tutorial.ipynb

Paper: https://arxiv.org/pdf/2012.09988v1.pdf

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

@ArtificialIntelligencedl

Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild with Pose Annotations

Github: https://github.com/bobetocalo/bobetocalo_pami20

Paper: https://arxiv.org/pdf/2202.02299v1.pdf

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

@ArtificialIntelligencedl

7️⃣ Steps to Mastering Machine Learning with Python in 2022

https://www.kdnuggets.com/2022/02/7-steps-mastering-machine-learning-python.html

@ArtificialIntelligencedl

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A Novel Plug-in Module for Fine-Grained Visual Classification

Github: https://github.com/chou141253/fgvc-pim

Paper: https://arxiv.org/abs/2202.03822

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

@ArtificialIntelligencedl

Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling

Github: https://github.com/rulixiang/vwe/tree/master/v2

Paper: https://arxiv.org/abs/2202.04812v1

Dataset: https://paperswithcode.com/dataset/pascal-voc

@ArtificialIntelligencedl

Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging

Github: https://github.com/aangelopoulos/im2im-uq

Paper: https://arxiv.org/abs/2202.05265v1

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

@ArtificialIntelligencedl

The Shapley Value in Machine Learning

Github: https://github.com/benedekrozemberczki/shapley

Documentation: https://shapley.readthedocs.io/

Paper: https://arxiv.org/abs/2101.02153

Help: https://shapley.readthedocs.io/en/latest/notes/resources.html

@ArtificialIntelligencedl

3 февраля – 3 апреля участвуйте в соревновании Data Fusion Contest 2022 от ВТБ с призовым фондом в 2 000 000 рублей!

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🔹 Expediting Vision Transformers via Token Reorganizations

Github: https://github.com/youweiliang/evit

Paper: https://arxiv.org/abs/2202.07800v1

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

@ArtificialIntelligencedl

🔦 cosFormer: Rethinking Softmax in Attention

Github: https://github.com/davidsvy/cosformer-pytorch

Paper: https://arxiv.org/abs/2202.08791v1

@ArtificialIntelligencedl

🛠 ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Github: https://github.com/jiacheng-ye/zerogen

Paper: https://arxiv.org/abs/2202.07922v1

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

@ArtificialIntelligencedl

TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and Grasping

Github: https://github.com/galaxies99/transcg

Paper: https://arxiv.org/pdf/2202.08471v1.pdf

Dataset: https://graspnet.net/transcg

@ArtificialIntelligencedl

Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization

Github: https://github.com/rail-berkeley/design-bench

Paper: https://arxiv.org/abs/2202.08450v1

Dataset: https://paperswithcode.com/dataset/openai-gym

@ArtificialIntelligencedl

PointSCNet: Point Cloud Structure and Correlation Learning Based on Space Filling Curve-Guided Sampling

Github: https://github.com/Chenguoz/PointSCNet

Paper: https://arxiv.org/abs/2202.10251v1

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

@ArtificialIntelligencedl

EIGNN: Efficient Infinite-Depth Graph Neural Networks

Github: https://github.com/liu-jc/eignn

Paper: https://arxiv.org/abs/2202.10720v1

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

@ArtificialIntelligencedl

Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation

Github: https://github.com/tzer-anonbot/tzer

Docs: https://tzer.readthedocs.io/en/latest/markdown/artifact.html

Paper: https://arxiv.org/abs/2202.09947v1


@ai_machinelearning_big_data

Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks

Github: https://github.com/networkslab/baggraph

Paper: https://arxiv.org/abs/2202.11132v1


@ai_machinelearning_big_data

✅ As-ViT: Auto-scaling Vision Transformers without Training

Github: https://github.com/vita-group/asvit

Paper: https://arxiv.org/abs/2202.11921v1

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

@ArtificialIntelligencedl

DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association

Github: https://github.com/wangxiyang2022/DeepFusionMOT

Paper: https://arxiv.org/abs/2202.12100v1

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

@ArtificialIntelligencedl