⭐️ YOLO-World Real-Time Open-Vocabulary Object Detection

🖥 Github: https://github.com/AILab-CVC/YOLO-World

📚 Paper: https://arxiv.org/abs/2401.17270

⚡️Demo: https://www.yoloworld.cc

🤗 Hf: https://huggingface.co/spaces/stevengrove/YOLO-World

🔥 EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction

🖥 Github: https://github.com/mit-han-lab/efficientvit

📚 Paper: https://arxiv.org/abs/2205.14756

⏩ Tutorial: https://www.jetson-ai-lab.com/vit/tutorial_efficientvit.html

🟢 Telegram: https://t.iss.one/DataScienceT

Artificial Intelligence && Deep Learning
Channel for who have a passion for -

* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers

https://t.iss.one/DeepLearning_ai

https://t.iss.one/MachineLearning_Programming

⚡️ LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

🖥 Github: https://github.com/3DTopia/LGM

📚 Paper: https://arxiv.org/abs/2402.05054

🔗 Demo: https://huggingface.co/spaces/ashawkey/LGM

💻 Weights: https://huggingface.co/ashawkey/LGM

⏩ Project: https://me.kiui.moe/lgm/

🟢 Telegram: https://t.iss.one/DataScienceT

🦾 Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

🖥 Github: https://github.com/uclaml/SPIN

📚 Paper: https://arxiv.org/abs/2401.01335

⏩ Project: https://uclaml.github.io/SPIN/

💻 Model: https://huggingface.co/collections/UCLA-AGI/zephyr-7b-sft-full-spin-65c361dfca65637272a02c40

🛡 Dataset: https://huggingface.co/collections/UCLA-AGI/datasets-spin-65c3624e98d4b589bbc76f3a

🟢 Telegram: https://t.iss.one/DataScienceT

SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels

🖥 Github: https://github.com/IIPL-CAU/SoftEDA

📕 Paper: https://arxiv.org/pdf/2402.05591v1.pdf

🔥 Datasets: https://paperswithcode.com/dataset/cola

🟢 Telegram: https://t.iss.one/DataScienceT

EasyKV

🖥 Github: https://github.com/drsy/easykv

📕 Paper: https://arxiv.org/pdf/2402.06262v1.pdf

🔥 Datasets: https://paperswithcode.com/dataset/webtext

🟢 Telegram: https://t.iss.one/DataScienceT

👁️ HASSOD: Hierarchical Adaptive Self-Supervised Object Detection

🖥 Github: https://github.com/Shengcao-Cao/HASSOD

📚 Paper: https://arxiv.org/abs/2402.03311

⏩ Project: https://hassod-neurips23.github.io/

💻 Video: https://www.youtube.com/watch?v=s8u7tEKg5ew

🟢 Telegram: https://t.iss.one/DataScienceT

Leveraging SAM for Single-Source Domain Generalization in Medical Image Segmentation

📄 https://arxiv.org/pdf/2401.02076.pdf

💻 https://github.com/SARIHUST/SAMMed

🟢 Telegram: https://t.iss.one/DataScienceT

SQ-Transformer: Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings

🖥 Github: https://github.com/jiangyctarheel/sq-transformer

📕 Paper: https://arxiv.org/pdf/2402.06492v1.pdf

🔥Datasets: https://paperswithcode.com/dataset/wmt-2014

🟢 Telegram: https://t.iss.one/DataScienceT

⚡️ Magic-Me: Identity-Specific Video Customized Diffusion.

▪Github: https://github.com/Zhen-Dong/Magic-Me

▪Colab: https://colab.research.google.com/drive/1gMialn4nkGeDZ72yx1Wob1E1QBgrqeGa

▪Project: https://magic-me-webpage.github.io

▪Paper: arxiv.org/abs/2402.09368

🟢 Telegram: https://t.iss.one/DataScienceT

⚡️ V-JEPA: The next step toward Yann LeCun’s vision of advanced machine intelligence (AMI)

▪Github: https://github.com/facebookresearch/jepa

▪Paper: https://ai.meta.com/research/publications/revisiting-feature-prediction-for-learning-visual-representations-from-video/

▪Blog: https://ai.meta.com/blog/v-jepa-yann-lecun-ai-model-video-joint-embedding-predictive-architecture/

🟢 Telegram: https://t.iss.one/DataScienceT

TIA Toolbox

🖥 Github: https://github.com/tissueimageanalytics/tiatoolbox

📕 Paper: https://arxiv.org/pdf/2402.09990v1.pdf

✨ Tasks: https://paperswithcode.com/task/whole-slide-images

🟢 Telegram: https://t.iss.one/DataScienceT