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PyTorch implementation of VisionHOPE, a visual backbone based on self-referential nested learning (SRNL).

deep learning for image processing including classification and object-detection etc.

MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the OpenMMLab project.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".