1. AutoassignPytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"
2. BorderdetBorderDet: Border Feature for Dense Object Detection(ECCV2020 Oral)
3. DefcnEnd-to-End Object Detection with Fully Convolutional Network
5. CvpodsAll-in-one Toolbox for Computer Vision Research.
6. OTAOfficial implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.
7. YOLOXYOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
8. 4K-Face4K-Face: A Dataset with Huge Scale-variance Faces
9. DisAlignImplementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)