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Artsiom Sanakoyeu on X: "Swin Transformer: New SOTA backbone for Computer Vision🔥 👉 What? New vision Transformer architecture called Swin Transformer that can serve as a backbone in computer vision instead of
Comparisons of recently SOTA attention models on ImageNet-1k, including... | Download Scientific Diagram
GitHub - Lextal/SotA-CV: A repository of state-of-the-art deep learning methods in computer vision
GitHub - Deeplite/deeplite-torch-zoo: Collection of SOTA efficient computer vision models for embedded applications, with pre-trained weights and training recipes
New research unit powered by NVIDIA's latest GPUs
MIT and Harvard Researchers Propose (FAn): A Comprehensive AI System that Bridges the Gap between SOTA Computer Vision and Robotic Systems- Providing an End-to-End Solution for Segmenting, Detecting, Tracking, and Following any
Facebook AI & UC Berkeley's ConvNeXts Compete Favourably With SOTA Hierarchical ViTs on CV Benchmarks | Synced
R] SOTA Real-Time Semantic Segmentation Model : r/computervision
Browse the State-of-the-Art in Machine Learning | Papers With Code
An Overview of State of the Art (SOTA) DNNs - Deci
The 1st place winner of the 4th Low-Power Computer Vision Challenge | Shuai Zheng ( 郑帅 )
An Overview of State of the Art (SOTA) DNNs - Deci
Allen Institute's New 'Computer Vision Explorer' Lets Researchers Demo SOTA CV Models | Synced
Google Brain Open-Sources EfficientDet: SOTA Performance, 28x Fewer Flops | by Synced | SyncedReview | Medium
Computer Vision Meetup: YOLO-NAS - SOTA Object Detection Generated by NAS - YouTube
Paper Review | Learning Robust Visual Features without Supervision - Datahunt
Ikomia HUB: Computer Vision SOTA algorithm library
An Overview of State of the Art (SOTA) DNNs - Deci
A Systematic Literature Review on SOTA Machine learning-supported Computer Vision Approaches to Image Enhancement | Jurnal Ilmu Komputer dan Informasi
SOTA Cloud's Dental Imaging Software Gets Pearl's AI Pathology Detection Capabilities - SOTA Imaging
R] Swin Transformer: New SOTA backbone for Computer Vision🔥 : r/MachineLearning
Beating SOTA Inference Performance on NVIDIA GPUs with GPUNet | NVIDIA Technical Blog
MBPTrack Tutorial - SOTA 3D Point Cloud Object Tracking in 2023 for LiDAR & Radar - Supervisely
Tsinghua & NKU's Visual Attention Network Combines the Advantages of Convolution and Self-Attention, Achieves SOTA Performance on CV Tasks | Synced
CUHK & Facebook Demonstrate SOTA Monocular 3D Hand Motion Capture Method 'FrankMocap' | Synced
State of the Art: Object detection (1/2) – Foundations of DL