BigData

StrengthNet

Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

Github: https://github.com/ttslr/strengthnet

Paper: https://arxiv.org/abs/2110.03156

MOSNet: https://github.com/lochenchou/MOSNet

👉 @bigdata_1

Object Structural Points Representation for Graph-based Semantic Monocular Localization and Mapping

PyGOD is a Python library for graph outlier detection (anomaly detection).

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

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

Paper: https://arxiv.org/abs/2206.10071v1

👉 @bigdata_1

DoWhy | An end-to-end library for causal inference

"DoWhy" is a Python library that aims to spark causal thinking and analysis.

Github: https://github.com/py-why/dowhy

Docs: https://py-why.github.io/dowhy/

Paper: https://arxiv.org/abs/2206.06821v1

Video: https://note.microsoft.com/MSR-Webinar-DoWhy-Library-Registration-On-Demand.html

👉 @bigdata_1

Age prediction of a speaker's voice

https://miykael.github.io/blog/2022/audio_eda_and_modeling/

👉 @bigdata_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

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

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

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

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

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

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

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

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

Text2Human - Official PyTorch Implementation

We synthesize full-body human images starting from a given human pose

Github: https://github.com/yumingj/Text2Human

Project: https://yumingj.github.io/projects/Text2Human.html

StyleGAN: https://github.com/stylegan-human/stylegan-human

Paper: https://arxiv.org/abs/2205.15996v1

Dataset: https://github.com/yumingj/DeepFashion-MultiModal

Demo video: https://youtu.be/yKh4VORA_E0

👉 @bigdata_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

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

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

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

Surface Vision Transformers

Github: https://github.com/metrics-lab/surface-vision-transformers

Paper: https://arxiv.org/abs/2205.15836v1

👉 @bigdata_1

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Github: https://github.com/ShoufaChen/AdaptFormer

Paper: https://arxiv.org/abs/2205.13535v1

Dataset: https://paperswithcode.com/dataset/something-something-v2

👉 @bigdata_1