Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation

Github: https://github.com/simonzeng7108/video-transunet

Paper: https://arxiv.org/abs/2208.08315v1

Model

@ArtificialIntelligencedl
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🧩 RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection

Github: https://github.com/chasel-tsui/mmdet-rfla

Paper: https://arxiv.org/abs/2208.08738v1

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

@ArtificialIntelligencedl
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Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories

Github: https://github.com/marciska/vpc-library

Paper: https://arxiv.org/abs/2208.08645v1

Starter guide: https://github.com/marciska/vpc-library/blob/main/QUICK_START.md

@ArtificialIntelligencedl
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PyMIC: A Pytorch-Based Toolkit for Medical Image Computing

pip install PYMIC

Github: https://github.com/hilab-git/pymic

Paper: https://arxiv.org/abs/2208.09350v1

MyoPS: https://github.com/HiLab-git/MyoPS2020

@ArtificialIntelligencedl
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🧍‍♂ PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling

Github: https://github.com/naver/posebert

Paper: https://arxiv.org/abs/2208.10211v1

Dataset: https://paperswithcode.com/dataset/3dpw

@ArtificialIntelligencedl
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📲 Arbitrary Shape Text Detection via Segmentation with Probability Maps

an innovative and robust segmentation-based detection method via probability maps for accurately detecting text instances.

Github: https://github.com/gxym/textpms

Paper: https://arxiv.org/abs/2208.12419v1

Dataset: https://paperswithcode.com/dataset/msra-td500

@ArtificialIntelligencedl
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✒️ Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity

novel approach that first trains the classifier to measure the importance of each sentence

Github: https://github.com/ddehun/coling2022_reweighting_sts

Paper: https://arxiv.org/abs/2208.13376v2

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

@ArtificialIntelligencedl
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💫 AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System

AccoMontage2, a system capable of doing full-length song harmonization and accompaniment arrangement based on a lead melod

Github: https://github.com/billyblu2000/accomontage2

Paper: https://arxiv.org/abs/2209.00353v1

Dataset: https://drive.google.com/drive/folders/1z8oW16dZtdS06woHc7_rxserNJRrkc4s?usp=sharing

@ArtificialIntelligencedl
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📍 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

@ArtificialIntelligencedl
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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: http://amigos.ai/thisbraindoesnotexist/

@ArtificialIntelligencedl
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Forwarded from Machinelearning
🔥 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


⚙️ Github
➡️ Paper
✔️ Colab
💻 Quantization Tutorial
📄 Dataset

@ai_machinelearning_big_data
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