Artificial Intelligence
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Artificial Intelligence

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Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM

The proposed methodology creates a convex hull region by performing constrained Delaunay triangulation with depth interpolation using line features.

Code: https://github.com/url-kaist/Struct-MDC

Paper: https://arxiv.org/abs/2204.13877v1

Dataset: https://paperswithcode.com/dataset/plad-1

@ArtificialIntelligencedl
Forwarded from Machinelearning
🔝 OPT (Open Pre-trained Transformers) is a family of NLP models trained on billions of tokens of text obtained from the internet.

175B GPT-3

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

Instructions: https://github.com/facebookresearch/metaseq/blob/main/docs/setup.md

Paper: https://arxiv.org/abs/2205.01068v2

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

@ai_machinelearning_big_data
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Python Data Driven Dynamics

A python package to discover SDE equation from time-series data.

Code: https://github.com/tee-lab/pydaddy

Paper: https://arxiv.org/abs/2205.02645v1


@ArtificialIntelligencedl
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Activating More Pixels in Image Super-Resolution Transformer

A python package to discover SDE equation from time-series data.

Code: https://github.com/chxy95/hat

Paper: https://arxiv.org/abs/2205.04437v1

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

@ArtificialIntelligencedl
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Хочешь знать, как устроена DALL-E 2?
На что способен GPT-3?
Какие нейросети используются для поиска новых лекарств?

Тогда тебе на канал DLStories!

На канале вы найдете:
- разборы новых архитектур;
- новости из мира AI и Deep Learning;
- ссылки на обучающие курсы, подкасты и статьи;

Также у автора канала есть свой подкаст Deep Learning Stories об исследованиях в сфере AI. Следите за выходом новых эпизодов на канале! 🎧⬇️

@dl_stories
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Just Ask: Learning to Answer Questions from Millions of Narrated Videos

Code: https://github.com/antoyang/just-ask

Paper: https://arxiv.org/abs/2205.05019v1

Dataset: https://paperswithcode.com/dataset/webvidvqa3m

@ArtificialIntelligencedl
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Shadow-Aware Dynamic Convolution for Shadow Removal

Shadow-Aware Dynamic Convolution (SADC) to resolve the contradiction between the shadow region and non-shadow region for shadow removal. Please refer to the paper for details.

Code: https://github.com/xuyimin0926/sadc

Paper: https://arxiv.org/abs/2205.04908v1

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

@ArtificialIntelligencedl
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Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model

Low complexity implementation of the WaveRNN-based LPCNet algorithm

Github: https://github.com/xiph/lpcnet

Paper: https://arxiv.org/abs/2205.05785v1

OpenSLR: https://www.openslr.org/

@ArtificialIntelligencedl
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📝 Automated Crossword Solving

Pretrained models, precomputed FAISS embeddings, and a crossword clue-answer dataset.

Github: https://github.com/albertkx/berkeley-crossword-solver

Paper: https://arxiv.org/abs/2205.09665v1

Dataset: https://www.xwordinfo.com/JSON/
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[RK-Net]Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization

Github: https://github.com/AggMan96/RK-Net

Paper: https://zhunzhong.site/paper/RK_Net.pdf

Dataset: https://paperswithcode.com/dataset/university-1652

@ArtificialIntelligencedl
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AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling

First VAE framework empowered with adaptive GPT-2s (AdaVAE).

Github: https://github.com/ImKeTT/adavae

Paper: https://arxiv.org/abs/2205.05862v1

Task: https://paperswithcode.com/task/representation-learning

@ArtificialIntelligencedl
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KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

Github: https://github.com/explainableml/kg-sp

Paper: https://arxiv.org/abs/2205.06784v1

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

@ArtificialIntelligencedl
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems.

Github: https://github.com/rahmanidashti/fairrecsys

Paper: https://arxiv.org/abs/2205.08289v1

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

@ArtificialIntelligencedl