BigData
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Data Science : Big Data : Machine Learning : Deep Learning. По всем вопросам @evgenycarter
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ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation

Github: https://github.com/hanchaoleng/shapeconv

Paper: https://arxiv.org/abs/2108.10528v1

👉 @bigdata_1
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Localization Distillation for Dense Object Detection

Github: https://github.com/HikariTJU/LD

Paper: https://arxiv.org/abs/2102.12252

Datasett: https://paperswithcode.com/dataset/dota

👉 @bigdata_1
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Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning

Github: https://github.com/zengarden/momentum2-teacher

Paper: https://arxiv.org/abs/2108.10668v1

👉 @bigdata_1
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OSSO: Obtaining Skeletal Shape from Outside (CVPR 2022)

Given a body shape with SMPL or STAR topology (in blue), we infer the underlying skeleton (in yellow).

Code: https://arxiv.org/abs/2204.10129v1

Paper: https://arxiv.org/abs/2204.09838v1

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

👉 @bigdata_1
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YOLOP: You Only Look Once for Panoptic Driving Perception

Github: https://github.com/hustvl/yolop

Paper: https://arxiv.org/abs/2108.11250v2

👉 @bigdata_1
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Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

Github: https://github.com/vita-group/tegnas

Paper: https://arxiv.org/abs/2108.11939v1

👉 @bigdata_1
Deep-significance: Easy and Better Significance Testing for Deep Neural Networks

Github: https://github.com/Kaleidophon/deep-significance

Paper: https://arxiv.org/abs/2204.06815v1

Examples: https://github.com/Kaleidophon/deep-significance#examples

👉 @bigdata_1
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Github: https://github.com/ofirpress/attention_with_linear_biases

Paper: https://ofir.io/train_short_test_long.pdf

Fairseq: https://github.com/pytorch/fairseq

👉 @bigdata_1
An Extendable, Efficient and Effective Transformer-based Object Detector

Github: https://github.com/naver-ai/vidt

Paper: https://arxiv.org/abs/2204.07962v1

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

👉 @bigdata_1
A Partition Filter Network for Joint Entity and Relation Extraction

Github: https://github.com/Coopercoppers/PFN

Paper: https://arxiv.org/abs/2108.12202v2

👉 @bigdata_1
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings


Code: https://github.com/voidism/diffcse

Paper: https://arxiv.org/abs/2204.10298v1

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

👉 @bigdata_1
Iterative Filter Adaptive Network for Single Image Defocus Deblurring

Github: https://github.com/codeslake/IFAN

Paper: https://arxiv.org/abs/2108.13610v1

👉 @bigdata_1
PyGCL: Graph Contrastive Learning for PyTorch

Github: https://github.com/GraphCL/PyGCL

Paper: https://arxiv.org/abs/2109.01116v1

👉 @bigdata_1
Generalising via Meta-Examples for Continual Learning in the Wild

Github: https://github.com/alessiabertugli/FUSION

Article: https://arxiv.org/abs/2101.12081v1

👉 @bigdata_1
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SOLD² - Self-supervised Occlusion-aware Line Description and Detection

Github: https://github.com/cvg/SOLD2

Paper: https://arxiv.org/abs/2104.03362

👉 @bigdata_1