Bin-Bin Gao (gaobb)

gaobb

Geek Repo

Company:Tencent YouTu Lab

Location:China

Home Page:https://csgaobb.github.io/

Twitter:@csgaobb

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csgaobb

Bin-Bin Gao's repositories

DLDL

[TIP] Deep Label Distribution Learning with Label Ambiguity

Few-Shot-Object-Detection-Papers

Few Shot Object Detection Papers

DLDL-v2

Age Estimation Using Expectation of Label Distribution Learning

MCAR

[TIP] Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition

DCFS

[NeurIPS 2022] Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation

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few-shot-classification-leaderboard

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

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BlenderProc

A procedural Blender pipeline for photorealistic training image generation

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awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

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CSTrans

Couning Everything

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DEye

Keep an Eye on Defects Inspection.

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few-shot-object-detection

Implementations of few-shot object detection benchmarks

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few-shot-object-detection-papers-1

📄 A paper list of Few-shot Object Detection.

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free-programming-books

:books: Freely available programming books

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gaobb

Hi, I'm Bin-Bin Gao

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iMTFA

Code accompanying the paper 'Incremental Few-Shot Instance Segmentation'

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NTS-Net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

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pixel-cnn-pp

Pytorch Implementation of OpenAI's PixelCNN++

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poolformer

PoolFormer: MetaFormer is Actually What You Need for Vision

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pytorch-segmentation-toolbox

PyTorch Implementations for DeeplabV3 and PSPNet

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SpatialSense

An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition

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SSR-Net

[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation

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TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN:由腾讯优图实验室和光影实验室协同打造,移动端高性能、轻量级推理框架,同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化,同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地,欢迎大家参与协同共建,促进TNN推理框架进一步完善。

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todo.md

TODO.md file format - todomd.org

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Video-Detection

video detection papers

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YOLO-CoreML-MPSNNGraph

Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.

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