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Tsinghua & NKU's Visual Attention Network Combines the Advantages of Convolution and Self-Attention, Achieves SOTA Performance on CV Tasks | Synced
Adobe and Stanford Unveil SOTA Method for Human Pose Estimation | Synced
Unsupervised Image Classification Approach Outperforms SOTA Methods by 'Huge Margins' | Synced
New research unit powered by NVIDIA's latest GPUs
R] SOTA Real-Time Semantic Segmentation Model : r/computervision
Beating SOTA Inference Performance on NVIDIA GPUs with GPUNet | NVIDIA Technical Blog
Paper Review | Learning Robust Visual Features without Supervision - Datahunt
An Overview of State of the Art (SOTA) DNNs - Deci
An Overview of State of the Art (SOTA) DNNs - Deci
YOLOv5 SOTA Real-Time Instance Segmentation. | Download Scientific Diagram
XMem + Segment Anything: Video Object Segmentation SOTA | Tutorial - Supervisely
Sota R Yoshida Computer Vision (Hardback) 9781612093994 | eBay
SOTA Cloud's Dental Imaging Software Gets Pearl's AI Pathology Detection Capabilities - SOTA Imaging
🌟 Learn to create Computer Vision and Natural Language Processing with TensorLayerX's Classic and SOTA Models 🌟 : r/Python
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
Google Brain Open-Sources EfficientDet: SOTA Performance, 28x Fewer Flops | by Synced | SyncedReview | Medium
R] Swin Transformer: New SOTA backbone for Computer Vision🔥 : r/MachineLearning
CUHK & Facebook Demonstrate SOTA Monocular 3D Hand Motion Capture Method 'FrankMocap' | Synced
MBPTrack Tutorial - SOTA 3D Point Cloud Object Tracking in 2023 for LiDAR & Radar | Computer Vision - YouTube
Facebook AI & UC Berkeley's ConvNeXts Compete Favourably With SOTA Hierarchical ViTs on CV Benchmarks | Synced
Computer Vision Meetup: YOLO-NAS - SOTA Object Detection Generated by NAS - YouTube
Christina Stathopoulos, MSc sur LinkedIn : GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA computer…
GitHub - Deeplite/deeplite-torch-zoo: Collection of SOTA efficient computer vision models for embedded applications, with pre-trained weights and training recipes
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
GitHub - roboflow/notebooks: Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding
An Overview of State of the Art (SOTA) DNNs - Deci
Comparisons of recently SOTA attention models on ImageNet-1k, including... | Download Scientific Diagram
State of the Art: Object detection (1/2) – Foundations of DL