Discover Megvii-BaseDetection/GFSD Open Source project

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Rank 624,037 (Top 13 %)
Language
Python
License
Apache License 2.0
Created over 3 years ago
Updated about 3 years ago

Megvii-BaseDetection

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This project provides an implementation for "Generalized Few-Shot Object Detection without Forgetting" (CVPR2021) on PyTorch.

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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BEVDepth

Official code for BEVDepth.

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DeFCN

End-to-End Object Detection with Fully Convolutional Network

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494

BorderDet

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

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431

DynamicRouting

Learning Dynamic Routing for Semantic Segmentation

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378

BEVStereo

Official code for BEVStereo

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253

OTA

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

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241

AutoAssign

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

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140

TreeFilter-Torch

Learnable Tree Filter for Structure-preserving Feature Transform

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139

DenseTeacher

DenseTeacher: Dense Pseudo-Label for Semi-supervised Object Detection

Python

120

DisAlign

Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)

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117

Megvii-BaseDetection

You are welcomed to join us!

LLA

Official implementation of our paper "LLA: Loss-aware Label Assignment for Dense Pedestrian Detection" in Pytorch.

Python

4K-Face

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

storage

provide Checkpoint for users.

Megvii-BaseDetection/GFSD

Megvii-BaseDetection

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