Summary of Heal-vit: Vision Transformers on a Spherical Mesh For Medium-range Weather Forecasting, by Vivek Ramavajjala
HEAL-ViT: Vision Transformers on a spherical mesh for medium-range weather forecastingby Vivek RamavajjalaFirst submitted to…
Summary of Parformer: a Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding, by Novendra Setyawan et al.
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embeddingby Novendra Setyawan,…
Summary of Rotary Position Embedding For Vision Transformer, by Byeongho Heo et al.
Rotary Position Embedding for Vision Transformerby Byeongho Heo, Song Park, Dongyoon Han, Sangdoo YunFirst submitted…
Summary of Sap: Corrective Machine Unlearning with Scaled Activation Projection For Label Noise Robustness, by Sangamesh Kodge et al.
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustnessby Sangamesh Kodge, Deepak…
Summary of A Survey Of Vision Transformers in Autonomous Driving: Current Trends and Future Directions, by Quoc-vinh Lai-dang
A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directionsby Quoc-Vinh Lai-DangFirst…
Summary of Semantic Residual Prompts For Continual Learning, by Martin Menabue et al.
Semantic Residual Prompts for Continual Learningby Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo…
Summary of Towards In-vehicle Multi-task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Models, by Esmaeil Seraj and Walter Talamonti
Towards In-Vehicle Multi-Task Facial Attribute Recognition: Investigating Synthetic Data and Vision Foundation Modelsby Esmaeil Seraj,…
Summary of General Surgery Vision Transformer: a Video Pre-trained Foundation Model For General Surgery, by Samuel Schmidgall et al.
General surgery vision transformer: A video pre-trained foundation model for general surgeryby Samuel Schmidgall, Ji…
Summary of T-tame: Trainable Attention Mechanism For Explaining Convolutional Networks and Vision Transformers, by Mariano V. Ntrougkas et al.
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformersby Mariano V. Ntrougkas, Nikolaos…
Summary of Ninformer: a Network in Network Transformer with Token Mixing As a Gating Function Generator, by Abdullah Nazhat Abdullah et al.
NiNformer: A Network in Network Transformer with Token Mixing as a Gating Function Generatorby Abdullah…