🚶 Pedestron is a MMdetection based repository, that focuses on the advancement of research on pedestrian detection.

Github: https://github.com/hasanirtiza/Pedestron

Paper: https://arxiv.org/abs/2201.03176v1

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

@ArtificialIntelligencedl

⛓ ConvNeXt, a pure ConvNet model constructed entirely from standard ConvNet modules.

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

Paper: https://arxiv.org/abs/2201.03545v1

Dataset: https://paperswithcode.com/dataset/ade20k

@ArtificialIntelligencedl

🔩 Prompt-BERT: Prompt makes BERT Better at Sentence Embeddings

Github: https://github.com/kongds/prompt-bert

Paper: https://arxiv.org/abs/2201.04337v1

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

@ArtificialIntelligencedl

📌 Fully Adaptive Bayesian Algorithm for Data Analysis

Github: https://github.com/pablomsanala/fabada

Paper: https://arxiv.org/abs/2201.05145v1

Demo: https://github.com/PabloMSanAla/fabada

@ArtificialIntelligencedl

Boundary-aware Self-supervised Learning for Video Scene Segmentation

Github: https://github.com/kakaobrain/bassl

Paper: https://arxiv.org/abs/2201.05277v1

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

@ArtificialIntelligencedl

Label-dependent and event-guided interpretable disease risk prediction using EHRs

Github: https://github.com/finnickniu/lerp

Paper: https://arxiv.org/abs/2201.06783v1

Dataset: https://paperswithcode.com/dataset/mimic-iii

@ArtificialIntelligencedl

🧪 Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets

Github: https://github.com/AstraZeneca/chemicalx

Paper: https://ojs.aaai.org/index.php/AAAI/article/view/7236

Dataset: https://chemicalx.readthedocs.io/en/latest/notes/introduction.html#datasets

@ArtificialIntelligencedl

▪️ Decoupling the Depth and Scope of Graph Neural Networks

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

Paper: https://arxiv.org/abs/2201.07858v1


@ArtificialIntelligencedl

💫 GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors

Github: https://github.com/pulp-platform/pulp-sdk

Paper: https://arxiv.org/abs/2201.08166v1

@ArtificialIntelligencedl

A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization

Github: https://github.com/dmmm1997/fsra

Paper: https://arxiv.org/abs/2201.09206v1

@ArtificialIntelligencedl

⭕ Interpretable Control Exploration and Counterfactual Explanation (ICE) on StyleGAN

Github: https://github.com/prclibo/ice

Paper: https://arxiv.org/abs/2201.09689v1

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

@ArtificialIntelligencedl

DocEnTr: An End-to-End Document Image Enhancement Transformer

Github: https://github.com/dali92002/docentr

Paper: https://arxiv.org/pdf/2201.10252v1.pdf

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

@ArtificialIntelligencedl

👺 Masked Autoencoders: A PyTorch Implementation

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

Paper: https://arxiv.org/abs/2111.06377

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

@ArtificialIntelligencedl

🔝 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