PR-366: A ConvNet for 2020s
ConvNext : A ConvNet for the 2020s (Part I) - DEV Community
Sebastian Raschka on Twitter: "Recently, "traditional" computer visionists tried to revive ye goode olde convolutional neural nets: "A ConvNet for the 2020s" aka ConvNeXt (https://t.co/4ZBTcMtyX3). Round 2️⃣: Sparse 51x51 kernels via "More
ConvNeXt: A ConvNet for the 2020s explained
![Convolutional neural networks approach for multimodal biometric identification system using the fusion of fingerprint, finger-vein and face images [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2020/cs-248/1/fig-2-full.png "Convolutional neural networks approach for multimodal biometric identification system using the fusion of fingerprint, finger-vein and face images [PeerJ]")
Convolutional neural networks approach for multimodal biometric identification system using the fusion of fingerprint, finger-vein and face images [PeerJ]
GMD - DINCAE 1.0: a convolutional neural network with error estimates to reconstruct sea surface temperature satellite observations
GMD - RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting
Computation | Free Full-Text | Theoretical Understanding of Convolutional Neural Network: Concepts, Architectures, Applications, Future Directions
Multi-resolution convolutional neural networks for inverse problems | Scientific Reports
How to Use a CNN to Successfully Classify Car Images - The Databricks Blog
AK on Twitter: "A ConvNet for the 2020s abs: https://t.co/SrqEPigdr8 github: https://t.co/Bzg7vYIBxV Constructed entirely from standard ConvNet modules, achieving 87.8% ImageNet top-1 accuracy and outperforming Swin Transformers on COCO detection and ...
CONVOLUTIONAL NEURAL NETWORK PRUNING USING FILTER ATTENUATION
ConvNeXt: A ConvNet for the 2020s explained
Research and Verification of Convolutional Neural Network Lightweight in BCI
Applied Sciences | Free Full-Text | A Review of Deep Learning Based Methods for Acoustic Scene Classification
Review — A ConvNet for the 2020s. In recent years transformers, which… | by Madali Nabil | Medium
Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data | Nature Communications
Review — A ConvNet for the 2020s. In recent years transformers, which… | by Madali Nabil | Medium
Sebastian Raschka on Twitter: "Recently, "traditional" computer visionists tried to revive ye goode olde convolutional neural nets: "A ConvNet for the 2020s" aka ConvNeXt (https://t.co/4ZBTcMtyX3). Round 2️⃣: Sparse 51x51 kernels via "More
FAIR Paper Review: A ConvNet for the 2020s – Towards AI
PDF) A ConvNet for the 2020s
Convolutional Neural Networks with PyTorch | Domino Data Lab
