IssacCyj's repositories

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C3D

C3D is a modified version of BVLC caffe to support 3D ConvNets.

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caffe

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors

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CaptchaRecognation

using opencv and tensorflow

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class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

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classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

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COCO2YOLO

COCO to YOLO converter

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deep-residual-networks

Deep Residual Learning for Image Recognition

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eqlv2

The official implementation of Equalization Loss v1 & v2 (CVPR 2020, 2021) based on MMDetection. https://arxiv.org/abs/2012.08548 https://arxiv.org/abs/2003.05176

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flownet2-tf

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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gluon-cv

Gluon CV Toolkit

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HFC

Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

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imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

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MobileNet-SSD

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

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pynetbuilder

pyNetBuilder is a modular pytonic interface with builtin modules for generating popular caffe prototxt network file definitions.

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pytorch_Realtime_Multi-Person_Pose_Estimation

This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation

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RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

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simple-chat

💬Simple Chat Application built with Node.js + socket.io

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SSH

SSH: Single Stage Headless Face Detector

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StableCascade

Official Code for Stable Cascade

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SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

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tutorial-haartraining

Tutorial of OpenCV haartraining

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Xception-caffe

Xception implemented with caffe

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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