Robuta

https://arxiv.org/abs/1407.4764 [1407.4764] Efficient On-the-fly Category Retrieval using ConvNets and GPUs Abstract page for arXiv paper 1407.4764: Efficient On-the-fly Category Retrieval using ConvNets and GPUs on the fly https://arxiv.org/abs/1904.08755 [1904.08755] 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks Abstract page for arXiv paper 1904.08755: 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks temporalconvnetsminkowskineuralnetworks https://openreview.net/forum?id=GNRodV4LZn&referrer=%5Bthe%20profile%20of%20Saikat%20Roy%5D(%2Fprofile%3Fid%3D~Saikat_Roy2) Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt |... Transformer-based architectures have seen widespread adoption recently for medical image segmentation. However, achieving performances equivalent to those in... medical image segmentation https://deepai.org/publication/combining-the-best-of-graphical-models-and-convnets-for-semantic-segmentation Combining the Best of Graphical Models and ConvNets for Semantic Segmentation | DeepAI Dec 14, 2014 - 12/14/14 - We present a two-module approach to semantic segmentation that incorporates Convolutional Networks (CNNs) and Graphical Models. Gr... the best ofgraphical models https://openreview.net/forum?id=rkYOxLLv2x Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness | OpenReview Robustness is a vital aspect to consider when deploying deep learning models into the wild. Numerous studies have been dedicated to the study of the robustness... the dark https://openreview.net/forum?id=S1emzO2LwB&referrer=%5Bthe%20profile%20of%20JunYoung%20Gwak%5D(%2Fprofile%3Fid%3D~JunYoung_Gwak2) 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks | OpenReview convolutional neural networkstemporalconvnetsminkowskiopenreview https://keras.io/examples/vision/patch_convnet/ Augmenting convnets with aggregated attention Keras documentation: Augmenting convnets with aggregated attention augmentingconvnetsaggregatedattention https://openreview.net/forum?id=rJqFGTslg Pruning Filters for Efficient ConvNets | OpenReview The success of CNNs in various applications is accompanied by a significant increase in the computation and parameter storage costs. Recent efforts toward... filters forpruningefficientconvnetsopenreview https://openreview.net/forum?id=rJqFGTslg¬eId=rJqFGTslg Pruning Filters for Efficient ConvNets | OpenReview The success of CNNs in various applications is accompanied by a significant increase in the computation and parameter storage costs. Recent efforts toward... filters forpruningefficientconvnetsopenreview https://openreview.net/forum?id=rJlhOlRN5V Biasing Deep ConvNets for Semantic Segmentation of Medical Images with a Prior-driven Prediction... We propose a method for including organ spatial prior for semantic segmentation by biasing a ConvNet with a prior-driven softmax function.