We are looking for intern/full time, please send your resume to [email protected] if you are willing to join us and do something exciting!
megvii-basedetection Goto Github PK
Type: Organization
Bio: BaseDetection Team of Megvii
megvii-basedetection's Projects
4k-face
4K-Face: A Dataset with Huge Scale-variance Faces
autoassign
Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"
bevdepth
Official code for BEVDepth.
bevstereo
Official code for BEVStereo
borderdet
BorderDet: Border Feature for Dense Object Detection(ECCV2020 Oral)
cvpods
All-in-one Toolbox for Computer Vision Research.
defcn
End-to-End Object Detection with Fully Convolutional Network
denseteacher
DenseTeacher: Dense Pseudo-Label for Semi-supervised Object Detection
disalign
Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)
dynamicrouting
Learning Dynamic Routing for Semantic Segmentation
gfsd
This project provides an implementation for "Generalized Few-Shot Object Detection without Forgetting" (CVPR2021) on PyTorch.
lla
Official implementation of our paper "LLA: Loss-aware Label Assignment for Dense Pedestrian Detection" in Pytorch.
megvii-basedetection
You are welcomed to join us!
ota
Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.
storage
provide Checkpoint for users.
treefilter-torch
Learnable Tree Filter for Structure-preserving Feature Transform
yolox
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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