Artificial Intelligence
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Artificial Intelligence

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πŸ“ Structural Bias for Aspect Sentiment Triplet Extraction

Github: https://github.com/genezc/structbias

Paper: https://arxiv.org/abs/2209.00820v1

@ArtificialIntelligencedl
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⚑️ Continual Learning: Fast and Slow

Dual Networks a general continual learning framework comprising a fast learning system for supervised learning of pattern-separated representation.

Github: https://github.com/phquang/DualNet

Paper: https://arxiv.org/abs/2209.02370v1

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

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🧠 Morphology-preserving Autoregressive 3D Generative Modelling of the Brain

Github: https://github.com/amigolab/synthanatomy

Paper: https://arxiv.org/abs/2209.03177v1

Project: https://amigos.ai/thisbraindoesnotexist/

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Forwarded from Machinelearning
πŸ”₯ YOLOv6

YOLOv6-N hits 35.9% AP on COCO dataset with 1234 FPS on T4. YOLOv6-S strikes 43.5% AP with 495 FPS, and the quantized YOLOv6-S model achieves 43.3% AP at a accelerated speed of 869 FPS on T4.

git clone https://github.com/meituan/YOLOv6
cd YOLOv6
pip install -r requirements.txt


βš™οΈ Github
➑️ Paper
βœ”οΈ Colab
πŸ’» Quantization Tutorial
πŸ“„ Dataset

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πŸ’¬ Text-Free Learning of a Natural Language Interface for Pretrained Face Generators

Fast text2StyleGAN, a natural language interface that adapts pre-trained GANs for text-guided human face synthesis.

pip install git+https://github.com/openai/CLIP.git

Github: https://github.com/duxiaodan/fast_text2stylegan

Paper: https://arxiv.org/abs/2209.03177v1

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

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πŸ’¬ AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog

git clone https://github.com/Tomiinek/Aargh.git
cd Aargh
pip install -e .


Github: https://github.com/tomiinek/aargh

Paper: https://arxiv.org/abs/2209.03632v1

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

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πŸ”­ AiRLoc: Aerial View Goal Localization with Reinforcement Learning

conda create -n airloc
conda activate airloc
pip install -r requirements.txt


Github: https://github.com/aleksispi/airloc

Paper: https://arxiv.org/abs/2209.03694v1

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πŸ’« F-COREF: Fast, Accurate and Easy to Use Coreference Resolution

a python package for fast, accurate, and easy-to-use English coreference resolution.

pip install fastcoref

Github: https://github.com/shon-otmazgin/fastcoref

Paper: https://arxiv.org/abs/2209.04280v2

Dataset: https://paperswithcode.com/dataset/multi-news

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πŸ›  CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment

Github: https://github.com/microsoft/xpretrain

Paper: https://arxiv.org/abs/2209.06430v1

Dataset: https://paperswithcode.com/dataset/flickr30k

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πŸ“² Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation

Github: https://github.com/ZM-Zhou/SMDE-Pytorch

Paper: https://arxiv.org/abs/2209.07088v1

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

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πŸ›  Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?

βš™οΈGithub: https://github.com/VITA-Group/Simple3D-Former

πŸ“„Paper: https://arxiv.org/abs/2209.07026v1

πŸ“ŽDataset: https://paperswithcode.com/dataset/modelnet

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πŸ–Š Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

git clone https://github.com/mmasana/FACIL.git
cd FACIL


βš™οΈGithub: https://github.com/mmasana/FACIL

πŸ“„Paper: https://arxiv.org/abs/2209.08010v1

πŸ“ŽDataset: https://github.com/mmasana/FACIL/blob/master/src/datasets#datasets

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πŸ”Œ HiPart: Hierarchical divisive clustering toolbox

It is a package with similar execution principles as the scikit-learn package. It also provides two types of static visualizations for all the algorithms executed in the package, with the addition of linkage generation for the divisive hierarchical clustering structure.

pip install HiPart


βš™οΈGithub: https://github.com/panagiotisanagnostou/hipart

πŸ“„Paper: https://arxiv.org/abs/2209.08680v1

πŸ“ŽDataset: https://paperswithcode.com/dataset/usps

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🎼 A Framework for Benchmarking Clustering Algorithms

BEVStereo is a new multi-view 3D object detector using temporal stereo to enhance depth estimation.

βš™οΈGithub: https://github.com/megvii-basedetection/bevstereo

πŸ“„Paper: https://arxiv.org/abs/2209.10248v1

πŸ—’Dataset: https://paperswithcode.com/dataset/nuscenes

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Forwarded from Machinelearning
πŸ—£ Robust Speech Recognition via Large-Scale Weak Supervision

Whisper is a general-purpose speech recognition model by Open AI.

pip install git+https://github.com/openai/whisper.git

βš™οΈ Github
πŸ’‘ Colab
πŸ’» Model
πŸ—’ Paper
🦾 Dataset
✴️ HABR

@ai_machinelearning_big_data
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🦾 Identity-Aware Hand Mesh Estimation and Personalization from RGB Images

A novel personalization pipeline to calibrate the intrinsic shape parameters using only a few unlabeled RGB images of the subject.

conda create -n IdHandMesh python=3.8
conda activate IdHandMesh


βš™οΈGithub: https://github.com/deyingk/personalizedhandmeshestimation

πŸ“„Paper: https://arxiv.org/abs/2209.10840v1

πŸ—’Dataset: https://paperswithcode.com/dataset/dexycb

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