Abdulmohsen Alghannam

Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning

Large pretrained models are increasingly crucial in modern computer vision tasks. These models are typically used in downstream tasks by end-to-end finetuning which is highly memory-intensive for tasks with high-resolution data e.g. video understanding small object detection and point cloud analysis…