🌉 Learning Affordance Grounding from Exocentric Images
Github: https://github.com/lhc1224/Cross-View-AG
Paper: https://arxiv.org/abs/2208.13196v1
Dataset: https://paperswithcode.com/dataset/3d-affordancenet
@ArtificialIntelligencedl
Github: https://github.com/lhc1224/Cross-View-AG
Paper: https://arxiv.org/abs/2208.13196v1
Dataset: https://paperswithcode.com/dataset/3d-affordancenet
@ArtificialIntelligencedl
👍7
✒️ 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
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
🔥7
👨 Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
Github: https://github.com/aashishrai3799/3DFaceCAM
Project: https://aashishrai3799.github.io/3DFaceCAM
Paper: https://arxiv.org/abs/2208.14263
Video: https://drive.google.com/file/d/1PqIN4Rzp4vapWs2pUegUEoMhg4lM2Smy/view?usp=sharing
Dataset: https://paperswithcode.com/dataset/facescape
@ArtificialIntelligencedl
Github: https://github.com/aashishrai3799/3DFaceCAM
Project: https://aashishrai3799.github.io/3DFaceCAM
Paper: https://arxiv.org/abs/2208.14263
Video: https://drive.google.com/file/d/1PqIN4Rzp4vapWs2pUegUEoMhg4lM2Smy/view?usp=sharing
Dataset: https://paperswithcode.com/dataset/facescape
@ArtificialIntelligencedl
👍7
🏙 AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System
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
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
👍9
💫 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
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
❤7👍3
This media is not supported in your browser
VIEW IN TELEGRAM
🔘 Real-time 3D Single Object Tracking with Transformer
Github: https://github.com/shanjiayao/ptt
Paper: https://arxiv.org/abs/2209.00860v1
Dataset: https://paperswithcode.com/dataset/kitti
Video: https://youtu.be/Cajj6iHFvrc
@ArtificialIntelligencedl
Github: https://github.com/shanjiayao/ptt
Paper: https://arxiv.org/abs/2209.00860v1
Dataset: https://paperswithcode.com/dataset/kitti
Video: https://youtu.be/Cajj6iHFvrc
@ArtificialIntelligencedl
👍4
📍 Structural Bias for Aspect Sentiment Triplet Extraction
Github: https://github.com/genezc/structbias
Paper: https://arxiv.org/abs/2209.00820v1
@ArtificialIntelligencedl
Github: https://github.com/genezc/structbias
Paper: https://arxiv.org/abs/2209.00820v1
@ArtificialIntelligencedl
👍4🔥1
⚡️ 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
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
👍5
🧠 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
This media is not supported in your browser
VIEW IN TELEGRAM
💬 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