FingerRec/OA-Transformer

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61
Rank 497,051 (Top 10 %)
Language
Python
Created almost 3 years ago
Updated over 2 years ago

FingerRec/OA-Transformer

FingerRec

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[CVPR 2022] The code for our paper 《Object-aware Video-language Pre-training for Retrieval》

BE

[CVPR2021] The source code for our paper 《Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning》.

DSM-decoupling-scene-motion

[AAAI2021] The source code for our paper 《Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion》.

real_time_video_action_recognition

tensorflow real time video action recognition based on C3D https://arxiv.org/abs/1412.0767

Self-Supervised-Temporal-Discriminative-Representation-Learning-for-Video-Action-Recognition

[Arxiv2020] The code for our paper 《Self-Supervised Temporal-Discriminative Representation Learning for Video Action Recognition》 https://arxiv.org/abs/2008.02129

3DNet_Visualization

Pytorch 3DNet attention feature map Visualization by [Cam](https://arxiv.org/abs/1512.04150); C3D, R3D, I3D, MF Net is support now!

SerialTcpUdpBasedOnQt

A Serial,Tcp And Udp master Based On Qt For Embedded. Test on stm32 in keil.（QT实现的上位机软件，实现串口，PCP和UDP通信，在STM32板子上经过测试）

Faster-rcnn_Ship_detection

Ocean Ship Image Process(DSP) And Detection(faster-rcnn).

FingerveinRecognitionModel1

A Fingervein Recognition Model Based On Gabor Multiple Filter;(基于高斯和Gabor八方向滤波器的指静脉识别模型)

FingerveinRecognitionModel3

A simple implement for A Novel Approach For Finger Vein Verification Based on Self-Taught Learning https://arxiv.org/pdf/1508.03710.pdf

awesome_video_self_supervised

awesome video-based self-supervised learning methods in recently years

activity_recognition

Activity Recognition Model Based On PyTorch

RHE

[TCSVT2020] The code for our paper 《Revisiting Hard Example for Action Recognition》

FingerveinRecognitionModel2

A Fingervein Recognition Model Based On Lbp + Dbn;基于降维LBP与深度信念网络的指静脉识别模型

FingerveinRecognitionModel4

A Fingervein Recognition Model Based On CNN;

Awesome_text_to_video_generation_model