BigData

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

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

Understanding Engagement from Video Screengrabs

Code: https://github.com/wanghewei16/video-engagement-analysis

Paper: https://arxiv.org/abs/2204.06454v1

The data source: https://github.com/e-drishti/wacv2016

👉 @bigdata_1

YOLOV5-ti-lite Object Detection Models

Code: https://github.com/texasinstruments/edgeai-yolov5

Paper: https://arxiv.org/abs/2204.06806v1

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

👉 @bigdata_1

D3D-HOI: Dynamic 3D Human-Object Interactions from Videos

Github: https://github.com/facebookresearch/d3d-hoi

Paper: https://arxiv.org/abs/2108.08420v1

Dataset: https://dl.fbaipublicfiles.com/d3d-hoi/d3dhoi_video_data.zip

👉 @bigdata_1

✏️ Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model

The proposed method starts building detection results through a deep learning-based detector and vectorizes individual segments into polygons using a “three-step” polygon extraction method

Github: https://github.com/jingkang50/openood

Paper: https://arxiv.org/abs/2204.05306v1

Dataset: https://entuedu-my.sharepoint.com/:f:/g/personal/jingkang001_e_ntu_edu_sg/Eso7IDKUKQ9AoY7hm9IU2gIBMWNnWGCYPwClpH0TASRLmg?e=iEYhXO

More tutorials: https://github.com/Jingkang50/OpenOOD/wiki/Get-Started

👉 @bigdata_1

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval

Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages.

Github: https://github.com/castorini/mr.tydi

Paper: https://arxiv.org/abs/2108.08787

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

👉 @bigdata_1

CenterNet++ for Object Detection

Code: https://github.com/Duankaiwen/PyCenterNet

Paper: https://arxiv.org/abs/2204.08394v1

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

👉 @bigdata_1

X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics

Github: https://github.com/yehli/xmodaler

Paper: https://arxiv.org/abs/2108.08217v1

Project: https://xmodaler.readthedocs.io/en/latest/

👉 @bigdata_1

✏️ Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model

The proposed method starts building detection results through a deep learning-based detector and vectorizes individual segments into polygons using a “three-step” polygon extraction method

Github: https://github.com/gdaosu/lod2buildingmodel

Paper: https://arxiv.org/abs/2204.04139v1

Datasett: https://drive.google.com/file/d/1rA7SRPbSYFJwOBc7IfXxBgmUroTOZIOF/view?usp=sharing

Video: https://youtu.be/Nn4OABsEOXk

👉 @bigdata_1

InsightFace: 2D and 3D Face Analysis Project

Github: https://github.com/deepinsight/insightface

Paper: https://arxiv.org/abs/2108.08191v1

Project: https://insightface.ai/projects

👉 @bigdata_1

A Unified Objective for Novel Class Discovery

Github: https://github.com/DonkeyShot21/UNO

Paper: https://arxiv.org/abs/2108.08536v2

Dataset: https://paperswithcode.com/dataset/cifar-100

👉 @bigdata_1

Unsupervised Image-to-Image Translation with Generative Prior

A novel framework GP-UNIT, to improve the overall quality and applicability of the translation algorithm

Github: https://github.com/williamyang1991/gp-unit

Paper: https://arxiv.org/abs/2204.03641v1

Datasett: https://paperswithcode.com/dataset/celeba-hq

👉 @bigdata_1

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Github: https://github.com/DengPingFan/Polyp-PVT

Paper: https://arxiv.org/abs/2108.06932v1

👉 @bigdata_1

Vision Transformers for Single Image Dehazing

Code: https://github.com/IDKiro/DehazeFormer

Paper: https://arxiv.org/abs/2204.03883v1

Dataset: https://paperswithcode.com/dataset/rs-haze

👉 @bigdata_1

Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems

Github: https://github.com/openvinotoolkit/training_extensions

Paper: https://arxiv.org/abs/2108.07049v1

👉 @bigdata_1

DALL·E 2

DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.

Openai: https://openai.com/dall-e-2/

Paper: https://cdn.openai.com/papers/dall-e-2.pdf

Video: https://vimeo.com/692375454

👉 @bigdata_1

Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

Github: https://github.com/crockwell/pixelsynth

Paper: https://arxiv.org/abs/2108.05892v1

👉 @bigdata_1

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer

Github: https://github.com/rhgao/objectfolder

Paper: https://arxiv.org/abs/2204.02389v1

Project: https://ai.stanford.edu/~rhgao/objectfolder2.0/

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

👉 @bigdata_1

Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

Github: https://github.com/antabangun/coex

Paper: https://arxiv.org/abs/2108.05773v1

Project: https://antabangun.github.io/projects/CoEx/#demo

👉 @bigdata_1