CVPR 2023 - Top Papers & Highlights (My first time!)
Description:
Experience CVPR 2023 like never before! As a first-time attendee, I bring you an in-depth review and highlights from one of the most significant events in the Computer Vision community. This video gives you an overview of the conference, intriguing workshops, and a rundown of top papers that have made waves in the field this year.
With over 9000 papers submitted and around 2300 accepted, CVPR 2023 was an event packed with insightful presentations, innovative ideas, and cutting-edge AI technology discussions. Whether you're an AI enthusiast, a practitioner, or a researcher, this video will provide you with the key takeaways from the conference. Don't miss the chance to virtually meet some of the authors behind your favorite models like GroundingDINO, SAM, and OneFormer. Stay tuned till the end to hear some engaging interviews and final thoughts.
Chapters:
00:00 Introduction
00:58 Conference Overview
02:20 Workshops
03:39 Papers Overview
04:44 Top Papers
08:13 Final Thoughts
08:48 Interviews
Resources:
🌏 Roboflow: https://roboflow.com
📚 Roboflow Notebooks Repository: https://github.com/roboflow/notebooks
🌌 Roboflow Universe: https://universe.roboflow.com
🗞️ CVPR 2023 Highlights blogpost: https://blog.roboflow.com/cvpr-2023-h...
🗞️ Roboflow 100 blogpost: https://blog.roboflow.com/roboflow-100
🗞️ List of Accepted CVPR 2023 papers: https://cvpr2023.thecvf.com/Conferenc...
🗞️ Computer Vision in the Wild CVPR 2023 workshop overview: https://computer-vision-in-the-wild.g...
🎬 Grounding DINO YouTube video: • Detect Anything You Want with Grounding DI...
🎬 Segment Anything Model (SAM) YouTube video: • SAM - Segment Anything Model by Meta AI: C...
🎬 OneFormer YouTube video: • OneFormer - SOTA Instance Segmentation wit...
🎬 RF100 YouTube video: • Roboflow 100: A New Object Detection Bench...
🗞️ ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models paper: https://arxiv.org/abs/2303.04803
🗞️ OneFormer: One Transformer to Rule Universal Image Segmentation paper: https://arxiv.org/abs/2211.06220
🗞️ PACO: Parts and Attributes of Common Objects paper: https://arxiv.org/abs/2301.01795
🗞️ DynIBaR Neural Dynamic Image-Based Rendering paper: https://arxiv.org/abs/2211.11082
🗞️ SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields paper: https://arxiv.org/abs/2211.12254
🗞️ InstructPix2Pix: Learning to Follow Image Editing Instructions paper: https://arxiv.org/abs/2211.12254
🗞️ DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation paper: https://arxiv.org/abs/2208.12242
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#CVPR2023 #ComputerVision #CVPRHighlights #PatternRecognition #ObjectDetection #InstanceSegmentation #CVPRPapers