Shypd.aiThe largest open index of AI toolsViTDet is an open-source deep learning tool that provides an unofficial PyTorch implementation for object detection using Vision Transformer backbones. It allows users to explore plain Vision Transformer backbones for object detection tasks.
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ViTDet offers an unofficial PyTorch implementation for object detection, leveraging plain Vision Transformer backbones. Based on the ECCV'22 paper "Exploring Plain Vision Transformer Backbones for Object Detection," this tool provides researchers and developers with a robust framework to experiment with advanced object detection models. It includes pre-trained weights and logs for various ViT-Base and ViTAE-Base models on MS COCO, supporting both detection and segmentation tasks. The implementation is designed for PyTorch and integrates with mmcv, timm, and einops, making it suitable for those working with modern deep learning architectures in computer vision.
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