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Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
deep learning for image processing including classification and object-detection etc.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A faster pytorch implementation of faster r-cnn
mobilenetv3 with pytorch，provide pre-train model
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
MobileNetV3 in pytorch and ImageNet pretrained models
OpenMMLab FewShot Learning Toolbox and Benchmark
74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet
Official repository of FLatten Transformer (ICCV2023)
本项目采用Opencv实现对视频信号的实时采集与帧提取，用Adaboost算法实现人脸图像的提取分割，并基于Keras搭建CNN卷积神经网络结构，用提取到的人脸图像训练CNN模型，并实现对视频中人脸的实时检测识别。
[Preprint] "In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation" by Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang …
Official Repo of DiGeo for Generalized Few-Shot Object Detection(CVPR'23)
(CVPR2023) The PyTorch implementation of the "AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection".
The offical code for paper "Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection"
The code for “Multiscale Object Contrastive Learning–Derived Few-Shot Object Detection in VHR imagery”