SETR - Pytorch

Github: https://github.com/920232796/setr-pytorch

Paper: https://arxiv.org/abs/2206.11520v1

Dataset: https://www.kaggle.com/c/carvana-image-masking-challenge/data

@ArtificialIntelligencedl

Complementary datasets to COCO for object detection

Github: https://github.com/aliborji/coco_oi

Paper: https://arxiv.org/abs/2206.11473v1

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

@ArtificialIntelligencedl

⚡️ K-CAI NEURAL API

KCAI NEURAL API Keras based neural network API that will allow you to prototype

Github: https://github.com/joaopauloschuler/k-neural-api

Colab: https://colab.research.google.com/github/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/simple_image_classification_with_any_dataset.ipynb

Paper: https://www.researchgate.net/publication/360226228_Grouped_Pointwise_Convolutions_Reduce_Parameters_in_Convolutional_Neural_Networks

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

@ArtificialIntelligencedl

💡 Denoised MDPs: Learning World Models Better Than the World Itself

Github: https://github.com/facebookresearch/denoised_mdp

Project: https://ssnl.github.io/denoised_mdp

Paper: https://arxiv.org/abs/2206.15477v1

Dataset: https://paperswithcode.com/dataset/deepmind-control-suite

@ArtificialIntelligencedl

📲 Forecasting Future World Events with Neural Networks

Github: https://github.com/andyzoujm/autocast

Paper: https://arxiv.org/abs/2206.15474v1

Dataset: https://people.eecs.berkeley.edu/~hendrycks/intervalqa.tar.gz

@ArtificialIntelligencedl

BigBIO: Biomedical Datasets

Currently BigBIO provides support for

more than 120 biomedical datasets
10 languages
Harmonized dataset schemas by task type
Metadata on licensing, coarse/fine-grained task types, domain, and more!

Github: https://github.com/bigscience-workshop/biomedical

Paper: https://arxiv.org/abs/2206.15076v1

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

@ArtificialIntelligencedl

🚗 MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving

A novel approach to efficiently extract features from vectorized High-Definition (HD) maps and utilize them in the end-to-end driving tasks.

Github: https://github.com/Kin-Zhang/mmfn

Paper: https://arxiv.org/abs/2207.00186v1

Dataset: https://github.com/carla-simulator/leaderboard/issues/81

@ArtificialIntelligencedl

AlphaCode Explained: AI Code Generation

AlphaCode is DeepMind's new massive language model for generating code. It is similar to OpenAI Codex, except for in the paper they provide a bit more analysis. The field of NLP within AI and ML has exploded get a lot more papers all the time. This video can help you understand how AlphaCode works and what some of the key takeaways are.


youtube: https://www.youtube.com/watch?v=t3Yh56efKGI
blog post: https://deepmind.com/blog/article/Competitive-programming-with-AlphaCode
paper: https://storage.googleapis.com/deepmind-media/AlphaCode/competition_level_code_generation_with_alphacode.pdf

PIAFusion: A progressive infrared and visible image fusion network based on illumination aware

Github: https://github.com/Linfeng-Tang/PIAFusion

Paper: https://www.sciencedirect.com/science/article/abs/pii/S156625352200032X

Pytorch: https://github.com/linklist2/PIAFusion_pytorch

@ArtificialIntelligencedl

Disentangling Random and Cyclic Effects in Time-Lapse Sequences

Github: https://github.com/harskish/tlgan

Paper: https://arxiv.org/abs/2207.01413v1

Dataset: https://github.com/harskish/tlgan/blob/master/docs/PREPROC.md

Pre-trained models: https://drive.google.com/drive/folders/1ZA7Gk2OIFI2cANHEHHAm3AdWLMjJCExE?usp=sharing

@ArtificialIntelligencedl

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

Github: https://github.com/haomo-ai/motionseg3d

Paper: https://arxiv.org/abs/2207.02201v1

Dataset: https://paperswithcode.com/dataset/lidar-mos

@ArtificialIntelligencedl

✨ Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Tip-Adapter is a training-free adaption method for CLIP to conduct few-shot classification.

Github: https://github.com/gaopengcuhk/tip-adapter

Paper: https://arxiv.org/abs/2207.09519v1

Dataset: https://paperswithcode.com/dataset/oxford-102-flower

FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

Github: https://github.com/timothyhtimothy/fast-vqa

Paper: https://arxiv.org/abs/2207.02595v1

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

@ArtificialIntelligencedl

Pre-training helps Bayesian optimization too

Github: https://github.com/google-research/hyperbo

Paper: https://arxiv.org/abs/2207.03084v1

Tensorflow Probability : https://www.tensorflow.org/probability

@ArtificialIntelligencedl

🚀 Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

Github: https://github.com/xing0047/tps

Paper: https://arxiv.org/abs/2207.02372v1

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

@ArtificialIntelligencedl

SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow

Github: https://github.com/lxtGH/SFSegNets

Paper: https://arxiv.org/abs/2207.04415v1

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

@ArtificialIntelligencedl

✔️ Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis

Github: https://github.com/fast-vid2vid/fast-vid2vid

Paper: https://arxiv.org/abs/2207.05049v1

Project: https://fast-vid2vid.github.io/

Tasks : https://paperswithcode.com/task/video-to-video-synthesis

@ArtificialIntelligencedl

Masked Autoencoders that Listen

Github: https://github.com/facebookresearch/audiomae

Paper: https://arxiv.org/abs/2207.06405v1

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

@ArtificialIntelligencedl

Distance Learner: Incorporating Manifold Prior to Model Training

Github: https://github.com/microsoft/distance-learner

Paper: https://arxiv.org/abs/2207.06888v1

Project: https://fast-vid2vid.github.io/

@ArtificialIntelligencedl

ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning

Github: https://github.com/openperceptionx/st-p3

Paper: https://arxiv.org/abs/2207.07601v1

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

@ArtificialIntelligencedl