gaobb

Currently I am a senior researcher at Tencent YouTu in Shenzhen.

Tencent YouTu LabChina

Pinned Repositories

AnoGen
[ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection
Language:Jupyter Notebook151
CDFTSVM
Coordinate Descent Fuzzy Twin Support Vector Machine for Classification
Language:C10 0 04
DCFS
[NeurIPS 2022] Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Language:Python30 1 82
DLDL
[TIP] Deep Label Distribution Learning with Label Ambiguity
Language:MATLAB74 2 224
DLDL-v2
[IJCAI 2018] Age Estimation Using Expectation of Label Distribution Learning
Language:Lua61 2 66
Few-Shot-Object-Detection-Papers
Few Shot Object Detection Papers
Language:HTML87 5 711
FR-TSVM
FR-TSVM
Language:MATLAB11 1 04
MCAR
[TIP] Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
Language:Python44 2 86
MetaUAS
51
OneNIP
[ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Language:Python25 1 11

gaobb's Repositories

gaobb/Few-Shot-Object-Detection-Papers
Few Shot Object Detection Papers
Language:HTML87 5 711
gaobb/DLDL
[TIP] Deep Label Distribution Learning with Label Ambiguity
Language:MATLAB74 2 224
gaobb/DLDL-v2
[IJCAI 2018] Age Estimation Using Expectation of Label Distribution Learning
Language:Lua61 2 66
gaobb/MCAR
[TIP] Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
Language:Python44 2 86
gaobb/DCFS
[NeurIPS 2022] Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
Language:Python30 1 82
gaobb/OneNIP
[ECCV 2024] Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
Language:Python25 1 11
gaobb/AnoGen
[ECCV 2024] Few-Shot Anomaly-Driven Generation for Anomaly Detection
Language:Jupyter Notebook151
gaobb/MetaUAS
51
gaobb/CSTrans
CSTrans: Correlation-guided Self-Activation transformer for counting everything
Language:Python2 3 00
gaobb/few-shot-classification-leaderboard
Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.
Language:HTML1 0 00
gaobb/anuraghazra
0 0 00
gaobb/BlenderProc
A procedural Blender pipeline for photorealistic training image generation
Language:Python0 0 00
gaobb/CASD
Language:Python0 0 00
gaobb/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)。
0 01
gaobb/DEye
Keep an Eye on Defects Inspection.
Language:C++1 0
gaobb/DoctorKey
0 0
gaobb/few-shot-object-detection
Implementations of few-shot object detection benchmarks
Language:Python0 0
gaobb/few-shot-object-detection-papers-1
📄 A paper list of Few-shot Object Detection.
0 0
gaobb/free-programming-books
:books: Freely available programming books
1 0
gaobb/gaobb
Hi, I'm Bin-Bin Gao
1 0
gaobb/iMTFA
Code accompanying the paper 'Incremental Few-Shot Instance Segmentation'
Language:Python0 0
gaobb/pixel-cnn-pp
Pytorch Implementation of OpenAI's PixelCNN++
Language:Python0 0
gaobb/pixel-rnn-tensorflow
in progress
Language:Python1 0
gaobb/PMD
Language:Python0 0
gaobb/poolformer
PoolFormer: MetaFormer is Actually What You Need for Vision
Language:Jupyter Notebook0 0
gaobb/ShiArthur03
gaobb/SpatialSense
An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
Language:Python2 0
gaobb/SSR-Net
[IJCAI18] SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation
Language:Python0 0
gaobb/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。
Language:C++0 0
gaobb/todo.md
TODO.md file format - todomd.org
0 0