Megvii-BaseDetection/4K-Face

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MIT License
Created over 5 years ago
Updated over 5 years ago

Megvii-BaseDetection/4K-Face

Megvii-BaseDetection

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4K-Face: A Dataset with Huge Scale-variance Faces

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/

BEVDepth

Official code for BEVDepth.

cvpods

All-in-one Toolbox for Computer Vision Research.

DeFCN

End-to-End Object Detection with Fully Convolutional Network

BorderDet

BorderDet: Border Feature for Dense Object Detection(ECCV2020 Oral)

DynamicRouting

Learning Dynamic Routing for Semantic Segmentation

BEVStereo

Official code for BEVStereo

OTA

Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.

AutoAssign

Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"

TreeFilter-Torch

Learnable Tree Filter for Structure-preserving Feature Transform

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)

Megvii-BaseDetection

You are welcomed to join us!

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.

storage

provide Checkpoint for users.