Advanced Computer Vision by the University of Central Florida - Read and understand research papers - Focus primarily on Transformers and Diffusion models - Covers recent models like DALL-E 2, Stable Diffusion, Imagen, DreamBooth, and DiffusionDet youtube.com/playlist?list=PL…

Advanced Computer Vision - UCF Center for Research in Computer Vision, Spring 2023 This is an excellent course on advanced computer vision. Covers recent developments in computer vision, topics like image generation and vision-language learning. I like that the course go through recent remarkable papers/works like DALL•E, DALL•E 2, diffusion models, GLIDE, stable diffusion, Imagen, DreamBooth, DiffusionDet, CLIP, and many more. Lecture videos: youtube.com/playlist?list=PL…

🔥 MMDetection has just released version v3.0.0rc6! - Support Boxinst, Objects365 Dataset, and Separated and Occluded COCO metric - Support ConvNeXt-V2 and DiffusionDet in Projects, as well as inference of EfficientDet and Detic - Refactor the DETR series 🧵#objectdetection

DiffusionDet is a cutting-edge object detection system that improves accuracy and efficiency Visit our Website: futuristech.com.au #ObjectDetection #Innovation #RealTimeDetection #AI #MachineLearning #ComputerVision #TechAdvancements #FuturisTech #Efficiency #DiffusionDet

DiffusionDet、やりたいことはたぶんDETR系と似てる

論文1. DiffusionDet: Diffusion Model for Object Detection arxiv.org/abs/2211.09788

物体検出のための拡散モデル「DiffusionDet」 github.com/ShoufaChen/Diffus…

Meet DiffusionDet: An Artificial Intelligence (AI) Model That Uses Diffusion for Object Detection marktechpost.com/2023/01/10/… via @Marktechpost #ArtificialIntelligence #artificalintelligence #100DaysOfCode

ShoufaChen / DiffusionDet PyTorch implementation of DiffusionDet (arxiv.org/abs/2211.09788) github.com/ShoufaChen/Diffus…

This paper proposes DiffusionDet, a new framework that formulates object detection as a denoising diffusion process from noisy boxes to object boxes: bit.ly/3VFbnxD

1️⃣ DiffusionDet Diffusion Model for Object Detection 🔴 Abstract ⬇️ arxiv.org/abs/2211.09788v1 🟡 Paper ⬇️ arxiv.org/pdf/2211.09788v1.p… 🟢 Code ⬇️ github.com/shoufachen/diffus…

DiffusionDet? I guess it’s mostly due to (1): both diffusion models and detection tasks are hot topics and (2): it’s interesting to check how generative models can be applied to recognition tasks…

DiffusionDet replaces the learned queries of DETR with random candidate boxes and refines them by denoising. This is simple while achieving similar performances as SOTAs. Expect to see its extension to tracking problems and text-condition detection. arxiv.org/abs/2211.09788

4. DiffusionDet PyTorch implementation of DiffusionDet (arxiv.org/abs/2211.09788) #Python github.com/ShoufaChen/Diffus…

ShoufaChen/DiffusionDet: PyTorch implementation of DiffusionDet (arxiv.org/abs/2211.09788)DiffusionDet: Diffusion Model for Object Detection DiffusionDet is the first work of diffusion model for object detection.… dlvr.it/Sd65f3 #opensource #programming #python

“DiffusionDet: オブジェクト検出のための拡散モデル” / “GitHub - ShoufaChen/DiffusionDet: PyTorch implementation of DiffusionDet (arxiv.org/abs/2211.09788)” htn.to/4295WX6RfR

DiffusionDet面白いな フツーにYOLOでよくねって気もするけど

An interesting result is that the DiffusionDet does not even work without using a hand-crafted design of "Ensemble NMS" according to Table 4 in the supplementary material. How to really make Diffusion work for object detection is on the way!

• The model learns to reverse this noising process • During inference, the model gradually refines a set of randomly generated boxes to refine the results • DiffusionDet has better COCO metric scores compared to many classical object detection models

✨ Diffusion meets Object Detection 📰 DiffusionDet: Diffusion Model for Object Detection • It formulates object detection as a denoising diffusion process from noisy boxes to object boxes • At training, object boxes diffuse from ground-truth boxes to random distribution