🧠 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
Github: https://github.com/amigolab/synthanatomy
Paper: https://arxiv.org/abs/2209.03177v1
Project: http://amigos.ai/thisbraindoesnotexist/
@ArtificialIntelligencedl
🔥4
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
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
🔥6🤔1
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💬 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
@ArtificialIntelligencedl
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
@ArtificialIntelligencedl
👍6
💬 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
@ArtificialIntelligencedl
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
@ArtificialIntelligencedl
👍5
🔭 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
@ArtificialIntelligencedl
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
@ArtificialIntelligencedl
👍4🔥3
MassMIND: Massachusetts Maritime INfrared Dataset 1
Github: https://github.com/uml-marine-robotics/massmind
Paper: https://arxiv.org/abs/2209.04097v1
Dataset: https://drive.google.com/file/d/1T572f0oqy5JmuTvVEwkSUeXLWOSHl4hL/view
@ArtificialIntelligencedl
Github: https://github.com/uml-marine-robotics/massmind
Paper: https://arxiv.org/abs/2209.04097v1
Dataset: https://drive.google.com/file/d/1T572f0oqy5JmuTvVEwkSUeXLWOSHl4hL/view
@ArtificialIntelligencedl
👍6
💫 F-COREF: Fast, Accurate and Easy to Use Coreference Resolution
a python package for fast, accurate, and easy-to-use English coreference resolution.
Github: https://github.com/shon-otmazgin/fastcoref
Paper: https://arxiv.org/abs/2209.04280v2
Dataset: https://paperswithcode.com/dataset/multi-news
@ArtificialIntelligencedl
a python package for fast, accurate, and easy-to-use English coreference resolution.
pip install fastcorefGithub: https://github.com/shon-otmazgin/fastcoref
Paper: https://arxiv.org/abs/2209.04280v2
Dataset: https://paperswithcode.com/dataset/multi-news
@ArtificialIntelligencedl
👍4
🦾 StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation
Github: https://github.com/adymaharana/storydalle
Paper: https://arxiv.org/abs/2209.06192
Model: https://github.com/adymaharana/storydalle/blob/main/MODEL_CARD.MD
Demo: https://github.com/adymaharana/storydalle/blob/main/DEMO.MD
Dataset: https://paperswithcode.com/dataset/multi-news
@ArtificialIntelligencedl
Github: https://github.com/adymaharana/storydalle
Paper: https://arxiv.org/abs/2209.06192
Model: https://github.com/adymaharana/storydalle/blob/main/MODEL_CARD.MD
Demo: https://github.com/adymaharana/storydalle/blob/main/DEMO.MD
Dataset: https://paperswithcode.com/dataset/multi-news
@ArtificialIntelligencedl
👍8🔥1
🚀 Entity Tagging: Extracting Entities in Text Without Mention Supervision
Github: https://github.com/facebookresearch/groov
Paper: https://arxiv.org/abs/2209.06148v1
Model: https://github.com/adymaharana/storydalle/blob/main/MODEL_CARD.MD
Dataset: http://manikvarma.org/downloads/XC/XMLRepository.html
@ArtificialIntelligencedl
Github: https://github.com/facebookresearch/groov
Paper: https://arxiv.org/abs/2209.06148v1
Model: https://github.com/adymaharana/storydalle/blob/main/MODEL_CARD.MD
Dataset: http://manikvarma.org/downloads/XC/XMLRepository.html
@ArtificialIntelligencedl
👍6
🛠 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
@ArtificialIntelligencedl
Github: https://github.com/microsoft/xpretrain
Paper: https://arxiv.org/abs/2209.06430v1
Dataset: https://paperswithcode.com/dataset/flickr30k
@ArtificialIntelligencedl
🔥7
📲 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
@ArtificialIntelligencedl
Github: https://github.com/ZM-Zhou/SMDE-Pytorch
Paper: https://arxiv.org/abs/2209.07088v1
Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
👍6
🛠 Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?
⚙️Github: https://github.com/VITA-Group/Simple3D-Former
📄Paper: https://arxiv.org/abs/2209.07026v1
📎Dataset: https://paperswithcode.com/dataset/modelnet
@ArtificialIntelligencedl
⚙️Github: https://github.com/VITA-Group/Simple3D-Former
📄Paper: https://arxiv.org/abs/2209.07026v1
📎Dataset: https://paperswithcode.com/dataset/modelnet
@ArtificialIntelligencedl
👍6
🖊 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.
⚙️Github: https://github.com/mmasana/FACIL
📄Paper: https://arxiv.org/abs/2209.08010v1
📎Dataset: https://github.com/mmasana/FACIL/blob/master/src/datasets#datasets
@ArtificialIntelligencedl
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⚙️Github: https://github.com/mmasana/FACIL
📄Paper: https://arxiv.org/abs/2209.08010v1
📎Dataset: https://github.com/mmasana/FACIL/blob/master/src/datasets#datasets
@ArtificialIntelligencedl
👍4
🔌 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.
⚙️Github: https://github.com/panagiotisanagnostou/hipart
📄Paper: https://arxiv.org/abs/2209.08680v1
📎Dataset: https://paperswithcode.com/dataset/usps
@ArtificialIntelligencedl
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⚙️Github: https://github.com/panagiotisanagnostou/hipart
📄Paper: https://arxiv.org/abs/2209.08680v1
📎Dataset: https://paperswithcode.com/dataset/usps
@ArtificialIntelligencedl
👍4👎2❤1🔥1
A Framework for Benchmarking Clustering Algorithms
⚙️Github: https://github.com/gagolews/clustering-benchmarks
📄Paper: https://arxiv.org/abs/2209.09493v1
📎Results: https://github.com/gagolews/clustering-results-v1
@ArtificialIntelligencedl
⚙️Github: https://github.com/gagolews/clustering-benchmarks
📄Paper: https://arxiv.org/abs/2209.09493v1
📎Results: https://github.com/gagolews/clustering-results-v1
@ArtificialIntelligencedl
👍8❤1🔥1
🎼 A Framework for Benchmarking Clustering Algorithms
BEVStereo is a new multi-view 3D object detector using temporal stereo to enhance depth estimation.
⚙️Github: https://github.com/megvii-basedetection/bevstereo
📄Paper: https://arxiv.org/abs/2209.10248v1
🗒Dataset: https://paperswithcode.com/dataset/nuscenes
@ArtificialIntelligencedl
BEVStereo is a new multi-view 3D object detector using temporal stereo to enhance depth estimation.
⚙️Github: https://github.com/megvii-basedetection/bevstereo
📄Paper: https://arxiv.org/abs/2209.10248v1
🗒Dataset: https://paperswithcode.com/dataset/nuscenes
@ArtificialIntelligencedl
👍6❤1🔥1
Forwarded from Machinelearning
🗣 Robust Speech Recognition via Large-Scale Weak Supervision
Whisper is a general-purpose speech recognition model by Open AI.
⚙️ Github
💡 Colab
💻 Model
🗒 Paper
🦾 Dataset
✴️ HABR
@ai_machinelearning_big_data
Whisper is a general-purpose speech recognition model by Open AI.
pip install git+https://github.com/openai/whisper.git ⚙️ Github
💡 Colab
💻 Model
🗒 Paper
🦾 Dataset
✴️ HABR
@ai_machinelearning_big_data
👍5🔥2🥰1
🦾 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.
⚙️Github: https://github.com/deyingk/personalizedhandmeshestimation
📄Paper: https://arxiv.org/abs/2209.10840v1
🗒Dataset: https://paperswithcode.com/dataset/dexycb
@ArtificialIntelligencedl
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⚙️Github: https://github.com/deyingk/personalizedhandmeshestimation
📄Paper: https://arxiv.org/abs/2209.10840v1
🗒Dataset: https://paperswithcode.com/dataset/dexycb
@ArtificialIntelligencedl
👍4❤1🔥1
MnTTS: An Open-Source Mongolian Text-to-Speech Synthesis Dataset and Accompanied Baseline
⚙️Github: https://github.com/walker-hyf/mntts
📄Paper: https://arxiv.org/abs/2209.10848v1
🗒Dataset: https://paperswithcode.com/dataset/ljspeech
@ArtificialIntelligencedl
# Clone the repo
git clone https://github.com/walker-hyf/MnTTS.git
cd $PROJECT_ROOT_DIR
⚙️Github: https://github.com/walker-hyf/mntts
📄Paper: https://arxiv.org/abs/2209.10848v1
🗒Dataset: https://paperswithcode.com/dataset/ljspeech
@ArtificialIntelligencedl
👍6❤1🔥1
🔸 Poisson Flow Generative Models
A new Poisson flow generative model (PFGM) that maps a uniform distribution on a high-dimensional hemisphere into any data distribution.
⚙️Github: https://github.com/newbeeer/poisson_flow
📄Paper: https://arxiv.org/abs/2209.11178v1
🗒Dataset: https://paperswithcode.com/dataset/lsun
@ArtificialIntelligencedl
A new Poisson flow generative model (PFGM) that maps a uniform distribution on a high-dimensional hemisphere into any data distribution.
⚙️Github: https://github.com/newbeeer/poisson_flow
📄Paper: https://arxiv.org/abs/2209.11178v1
🗒Dataset: https://paperswithcode.com/dataset/lsun
@ArtificialIntelligencedl
👍7❤1🔥1
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🚀 On Efficient Reinforcement Learning for Full-length Game of StarCraft II
In this work, we investigate a set of RL techniques for the full-length game of StarCraft II
⚙️Github: https://github.com/liuruoze/mini-AlphaStar
📄Paper: https://arxiv.org/abs/2209.11553v1
🗒HierNet-SC2: https://github.com/liuruoze/hiernet-sc2
@ArtificialIntelligencedl
In this work, we investigate a set of RL techniques for the full-length game of StarCraft II
⚙️Github: https://github.com/liuruoze/mini-AlphaStar
📄Paper: https://arxiv.org/abs/2209.11553v1
🗒HierNet-SC2: https://github.com/liuruoze/hiernet-sc2
@ArtificialIntelligencedl
👍7❤1🔥1