BigData
3.3K subscribers
754 photos
89 videos
3 files
835 links
Data Science : Big Data : Machine Learning : Deep Learning. По всем вопросам @evgenycarter
加入频道
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

Github: https://github.com/adlab-autodrive/bevfusion

Paper: https://arxiv.org/abs/2205.13790v1

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

👉 @bigdata_1
🍓1
Perturbation Augmentation for Fairer NLP

Responsible NLP projects from Meta AI.

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

Paper: https://arxiv.org/abs/2205.12586v1

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

👉 @bigdata_1
🍓1
Green Hierarchical Vision Transformer for Masked Image Modeling

Github: https://github.com/layneh/greenmim

Paper: https://arxiv.org/abs/2205.13515v1

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

👉 @bigdata_1
🍓1
HIRL: A General Framework for Hierarchical Image Representation Learning

Github: https://github.com/hirl-team/hirl

Paper: https://arxiv.org/abs/2205.13159v1

Dataset: https://paperswithcode.com/dataset/places205

👉 @bigdata_1
1🍓1
PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation

Github: https://github.com/naiyugao/panopticdepth

Paper: http://arxiv.org/abs/2206.00468

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

👉 @bigdata_1
🍓1
MaSIF- Molecular Surface Interaction Fingerprints: Geometric deep learning to decipher patterns in protein molecular surfaces.

MaSIF is a proof-of-concept method to decipher patterns in protein surfaces important for specific biomolecular interactions.

Github: https://github.com/LPDI-EPFL/masif

Paper: https://www.nature.com/articles/s41592-019-0666-6

Data: https://github.com/LPDI-EPFL/masif#MaSIF-data-preparation

👉 @bigdata_1
1
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmark.

Github: https://github.com/naver/kapture-localization

Paper: https://arxiv.org/abs/2205.15761v1

Data: https://paperswithcode.com/dataset/inloc

👉 @bigdata_1
👍1🍓1
Optimizing Relevance Maps of Vision Transformers Improves Robustness

This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.

Github: https://github.com/hila-chefer/robustvit

Colab: https://colab.research.google.com/github/hila-chefer/RobustViT/blob/master/RobustViT.ipynb

Paper: https://arxiv.org/abs/2206.01161

Dataset: https://github.com/UnsupervisedSemanticSegmentation/ImageNet-S

👉 @bigdata_1
3
UniSRec

The proposed approach utilizes the associated description text of items to learn transferable representations across different recommendation scenarios.

Github: https://github.com/rucaibox/unisrec

Paper: https://arxiv.org/abs/2206.05941v1

Google Drive: https://drive.google.com/drive/folders/1Uik0fMk4oquV_bS9lXTZuExAYbIDkEMW?usp=sharing

👉 @bigdata_1
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition

Github: https://github.com/kssteven418/squeezeformer

Paper: https://arxiv.org/abs/2206.00888v1

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

👉 @bigdata_1
2
OntoMerger: An Ontology Integration Library for Deduplicating and Connecting Knowledge Graph Nodes

OntoMerger is an ontology alignment library for deduplicating knowledge graph nodes

Github: https://github.com/astrazeneca/onto_merger

Paper: https://arxiv.org/abs/2206.02238v1

Documentation: https://ontomerger.readthedocs.io/

👉 @bigdata_1
👍1
CVNets: A library for training computer vision networks

Improved model, MobileViTv2, is state-of-the-art on several mobile vision tasks, including ImageNet object classification and MS-COCO object detection.

Github: https://github.com/apple/ml-cvnets

Examples: https://github.com/apple/ml-cvnets/blob/main/docs/source/en/models

Paper: https://arxiv.org/abs/2206.02680v1

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

👉 @bigdata_1
2
This media is not supported in your browser
VIEW IN TELEGRAM
EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks by Nvidia

Expressive hybrid explicit-implicit network architecture that, together with other design choices, synthesizes not only high-resolution multi-view-consistent images in real time but also produces high-quality 3D geometry.

Github: https://github.com/NVlabs/eg3d

Project: https://nvlabs.github.io/eg3d/

Video: https://www.youtube.com/watch?v=cXxEwI7QbKg&feature=emb_logo&ab_channel=StanfordComputationalImagingLab

Paper: https://nvlabs.github.io/eg3d/media/eg3d.pdf

👉 @bigdata_1
Featurized Query R-CNN

Featurized object queries predicted by a query generation network in the well-established Faster R-CNN framework and develop a Featurized Query R-CN

Github: https://github.com/hustvl/featurized-queryrcnn

Paper: https://arxiv.org/abs/2206.06258v1

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

👉 @bigdata_1
1
Can CNNs Be More Robust Than Transformers?

CNN architectures without any attention-like operations that is as robust as, or even more robust than, Transformers.

Github: https://github.com/ucsc-vlaa/robustcnn

Paper: https://arxiv.org/abs/2206.03452v1

Dataset: https://paperswithcode.com/dataset/imagenet-r

👉 @bigdata_1
1
LIVE- Towards Layer-wise Image Vectorization

New method to progressively generate a SVG that fits the raster image in a layer-wise fashion.

Github: https://github.com/picsart-ai-research/live-layerwise-image-vectorization

Project: https://ma-xu.github.io/LIVE/

Paper: https://arxiv.org/pdf/2206.04655v1.pdf

Colab: https://colab.research.google.com/drive/1s108WmqSVH9MILOjSAu29QyAEjExOWAP?usp=sharing

👉 @bigdata_1