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
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
👍2
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
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
👍6👎1
❔ 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
Code: https://github.com/antoyang/just-ask
Paper: https://arxiv.org/abs/2205.05019v1
Dataset: https://paperswithcode.com/dataset/webvidvqa3m
@ArtificialIntelligencedl
👍1
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
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
👍5
Group R-CNN for Point-based Weakly Semi-supervised Object Detection
Code: https://github.com/jshilong/grouprcnn
Paper: https://arxiv.org/abs/2205.05920v1
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
Code: https://github.com/jshilong/grouprcnn
Paper: https://arxiv.org/abs/2205.05920v1
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
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
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
👍5
📝 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/
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
Github: https://github.com/AggMan96/RK-Net
Paper: https://zhunzhong.site/paper/RK_Net.pdf
Dataset: https://paperswithcode.com/dataset/university-1652
@ArtificialIntelligencedl
👍5
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
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
👍6
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
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
Github: https://github.com/rahmanidashti/fairrecsys
Paper: https://arxiv.org/abs/2205.08289v1
Dataset: https://paperswithcode.com/dataset/movielens
@ArtificialIntelligencedl
Towards Unified Keyframe Propagation Models
A two-stream approach, where high-frequency features interact locally and low-frequency features interact globally.
Github: https://github.com/runwayml/guided-inpainting
Paper: https://arxiv.org/abs/2205.09731v1
Dataset: https://paperswithcode.com/dataset/places
@ArtificialIntelligencedl
A two-stream approach, where high-frequency features interact locally and low-frequency features interact globally.
Github: https://github.com/runwayml/guided-inpainting
Paper: https://arxiv.org/abs/2205.09731v1
Dataset: https://paperswithcode.com/dataset/places
@ArtificialIntelligencedl
👍5
🖇 A graph-transformer for whole slide image classification
Graph-Transformer (GT) that fuses a graph-based representation of an WSI and a vision transformer for processing pathology images.
Github: https://github.com/vkola-lab/tmi2022
Paper: https://arxiv.org/abs/2205.09671v1
Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
Graph-Transformer (GT) that fuses a graph-based representation of an WSI and a vision transformer for processing pathology images.
Github: https://github.com/vkola-lab/tmi2022
Paper: https://arxiv.org/abs/2205.09671v1
Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
👍4
RankGen - Improving Text Generation with Large Ranking Models
RankGen is a 1.2 billion encoder model which maps prefixes and generations from any language model (in continutation to the prefix) to a shared vector space.
Github: https://github.com/martiansideofthemoon/rankgen
Paper: https://arxiv.org/abs/2205.09726
Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
RankGen is a 1.2 billion encoder model which maps prefixes and generations from any language model (in continutation to the prefix) to a shared vector space.
Github: https://github.com/martiansideofthemoon/rankgen
Paper: https://arxiv.org/abs/2205.09726
Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
👍4
⚡️ Structured Attention Composition for Temporal Action Localization
Online action detection and effective and efficient exemplar-consultation mechanism
Github: https://github.com/vividle/online-action-detection
Paper: https://arxiv.org/abs/2205.09956v1
Dataset: https://paperswithcode.com/dataset/places
@ArtificialIntelligencedl
Online action detection and effective and efficient exemplar-consultation mechanism
Github: https://github.com/vividle/online-action-detection
Paper: https://arxiv.org/abs/2205.09956v1
Dataset: https://paperswithcode.com/dataset/places
@ArtificialIntelligencedl
👍2
Full camouflage fixation training dataset is available!
The full camouflage fixation training dataset is available with the full fixation maps for the COD10K training dataset, which can be downloaded from: https://drive.google.com/file/d/1inb5iNTDswFPDm4SpzBbVgZdI4puAv_3/view?usp=sharing
Github: https://github.com/JingZhang617/COD-Rank-Localize-and-Segment
Paper: https://arxiv.org/abs/2205.11333v1
Dataset: https://paperswithcode.com/dataset/salicon
@ArtificialIntelligencedl
The full camouflage fixation training dataset is available with the full fixation maps for the COD10K training dataset, which can be downloaded from: https://drive.google.com/file/d/1inb5iNTDswFPDm4SpzBbVgZdI4puAv_3/view?usp=sharing
Github: https://github.com/JingZhang617/COD-Rank-Localize-and-Segment
Paper: https://arxiv.org/abs/2205.11333v1
Dataset: https://paperswithcode.com/dataset/salicon
@ArtificialIntelligencedl
👍3
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions
Github: https://github.com/difanliu/asset
Paper: https://arxiv.org/abs/2205.12231v1
Dataset: https://paperswithcode.com/dataset/ade20k
Pretrained model: https://www.dropbox.com/s/5kyov71ko340ra0/landscape.zip?dl=0
@ArtificialIntelligencedl
Github: https://github.com/difanliu/asset
Paper: https://arxiv.org/abs/2205.12231v1
Dataset: https://paperswithcode.com/dataset/ade20k
Pretrained model: https://www.dropbox.com/s/5kyov71ko340ra0/landscape.zip?dl=0
@ArtificialIntelligencedl
👍4
Recipe for a General, Powerful, Scalable Graph Transformer
Github: https://github.com/rampasek/GraphGPS
Paper: https://arxiv.org/abs/2205.12454v1
Dataset: https://paperswithcode.com/dataset/malnet
@ArtificialIntelligencedl
Github: https://github.com/rampasek/GraphGPS
Paper: https://arxiv.org/abs/2205.12454v1
Dataset: https://paperswithcode.com/dataset/malnet
@ArtificialIntelligencedl
🔥3
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
Github: https://github.com/KingJamesSong/DifferentiableSVD
Paper: https://arxiv.org/abs/2205.13282v1
Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
Github: https://github.com/KingJamesSong/DifferentiableSVD
Paper: https://arxiv.org/abs/2205.13282v1
Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
👍6
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
Github: https://github.com/wangzy22/SemAffiNet
Paper: https://arxiv.org/abs/2205.13490v1
Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
Github: https://github.com/wangzy22/SemAffiNet
Paper: https://arxiv.org/abs/2205.13490v1
Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
❤3👍1