Vision-Language Transformer and Query Generation for Referring Segmentation
Github: https://github.com/henghuiding/Vision-Language-Transformer
Paper: https://arxiv.org/abs/2108.05565v1
Dataset: https://paperswithcode.com/dataset/refcoco
👉 @bigdata_1
Github: https://github.com/henghuiding/Vision-Language-Transformer
Paper: https://arxiv.org/abs/2108.05565v1
Dataset: https://paperswithcode.com/dataset/refcoco
👉 @bigdata_1
SuperGAT
A self-supervised graph attention network (SuperGAT), an improved graph attention model for noisy graph
Code: https://github.com/dongkwan-kim/SuperGAT
Paper: https://arxiv.org/abs/2204.04879v1
Dataset: https://paperswithcode.com/dataset/ogb
👉 @bigdata_1
A self-supervised graph attention network (SuperGAT), an improved graph attention model for noisy graph
Code: https://github.com/dongkwan-kim/SuperGAT
Paper: https://arxiv.org/abs/2204.04879v1
Dataset: https://paperswithcode.com/dataset/ogb
👉 @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
Github: https://github.com/antabangun/coex
Paper: https://arxiv.org/abs/2108.05773v1
Project: https://antabangun.github.io/projects/CoEx/#demo
👉 @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
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/crockwell/pixelsynth
Paper: https://arxiv.org/abs/2108.05892v1
👉 @bigdata_1
Github: https://github.com/crockwell/pixelsynth
Paper: https://arxiv.org/abs/2108.05892v1
👉 @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
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
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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
Github: https://github.com/openvinotoolkit/training_extensions
Paper: https://arxiv.org/abs/2108.07049v1
👉 @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
Code: https://github.com/IDKiro/DehazeFormer
Paper: https://arxiv.org/abs/2204.03883v1
Dataset: https://paperswithcode.com/dataset/rs-haze
👉 @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
Github: https://github.com/DengPingFan/Polyp-PVT
Paper: https://arxiv.org/abs/2108.06932v1
👉 @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
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
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
Github: https://github.com/DonkeyShot21/UNO
Paper: https://arxiv.org/abs/2108.08536v2
Dataset: https://paperswithcode.com/dataset/cifar-100
👉 @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
Github: https://github.com/deepinsight/insightface
Paper: https://arxiv.org/abs/2108.08191v1
Project: https://insightface.ai/projects
👉 @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
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
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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
Github: https://github.com/yehli/xmodaler
Paper: https://arxiv.org/abs/2108.08217v1
Project: https://xmodaler.readthedocs.io/en/latest/
👉 @bigdata_1
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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
Code: https://github.com/Duankaiwen/PyCenterNet
Paper: https://arxiv.org/abs/2204.08394v1
Dataset: https://paperswithcode.com/dataset/coco
👉 @bigdata_1
👍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
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
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✏️ 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
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
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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
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
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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
Code: https://github.com/texasinstruments/edgeai-yolov5
Paper: https://arxiv.org/abs/2204.06806v1
Dataset: https://paperswithcode.com/dataset/coco
👉 @bigdata_1
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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
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
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