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a-generic-framework-for-optimizing-two-way-partial-auc

This is an official PyTorch code for our accepted paper "When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC" in ICML-2021

ap-loss

The implementation of "Towards accurate one-stage object detection with AP-loss" and its journal version.

face_recognization_alog_system

facenet

Face recognition using Tensorflow

hello-world

internimage

[CVPR 2023] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

ppal

Plug and Play Active Learning for Object Detection

python-100-days

Python - 100天从新手到大师

ranksortloss

Official PyTorch Implementation of Rank & Sort Loss for Object Detection and Instance Segmentation [ICCV2021]

resnet

tensorflow

An Open Source Machine Learning Framework for Everyone

yolo-

this is a detection

yoloc

🚀🚀🚀YOLOC is Combining different modules to build an different Object detection model.Including YOLOv3、YOLOv4、Scaled_YOLOv4、YOLOv5、YOLOv6、YOLOv7、YOLOX、YOLOR、PPYOLO、PPYOLOE

yolov3-tiny-pb-nms

convert yolov3 tiny by darknet to pb model conclude in nms , to improve the inference speed; and inference pb model to create label xml file , to decrease the label cost。

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5_auc

yolov5 add ROC Curve and auc output

yolov8_sam_onnx