Xu Ma — Vaya

pointMLP-pytorch. [ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

597

Context-Cluster. [ICLR 2023 Oral] Image as Set of Points

575

Rewrite-the-Stars. [CVPR 2024] Rewrite the Stars

463

Open-Set-Recognition. Open Set Recognition

179

DCANet. [arXiv 2020] Deep Connected Attention Networks

125

CollaborativeFiltering. matlab, collaborative filtering, MovieLens dataset，The movie recommendation system

109

FCViT. A Close Look at Spatial Modeling: From Attention to Convolution

92

LIVE. [CVPR 2022 Oral] Towards Layer-wise Image Vectorization

80

EfficientMod. [ICLR 2024 poster] Efficient Modulation for Vision Networks

62

DataMining. Java implementation of the classic Data mining (big data) algorithm. Create a new Java project, and copy this project to the SRC directory is ok.

25

SPANet. Codes of "SPANet: Spatial Pyramid Attention Network for Enhanced Image Recognition"

25

ORL3. Face recognition implement based on LDA, PCA and SVM.

22

Efficient_ImageNet_Classification. An efficient implementation for ImageNet classification

17

TSNE. Python

9

SPANet_TMM. Python

8

CenterLoss. A Discriminative Feature Learning Approach for Deep Face Recognition

7

DNN. A DNN learning project

7

Non-Local. Compare Non-Local, GC, SE and Global_Average_Pooling

7

L21FS. L21FS

5

Attention. Python

5

Dynamic-Conv. Python

4

NANet. Code for "Attention Meets Normalization and Beyond"

4

ResidualAttention. Python

4

SparseSENet. For REU project

4

ParameterFree. Official code for “Cascaded Context Dependency: An Extremely Lightweight Module for Deep Convolutional Neural Networks”

3

pointsMLP. Python

3

openmax. Python

3

DistKernel. Python

3

hpc_yolo3. an object detection framework for UNT REU 2019 project.

3

2PTWSVM. 2PTWSVM

3

token-shuffle. [Project Page] Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models

3

PRM. IJCAI 2020

2

ImageNet.fastai. Python

2

incrementalAD. This is a project for Incremental Anomaly Detection, which is written in MATLAB. The used techniques including: incremental LDA, incremental SVM, SMOTE, hard negative mining.

2

MLproject. The project for Machine Learning

2

RDANet. residual decoupled attention on imagenet

2

RDA_cifar_GCP. RDA on CIFAR100

2

detection. Python

2

imagenet_nv. Python

2

cifar. Python

2

Learning_keras. A learning demo for DNN based on keras

2

awesome-vision-transformers-comparison. A detailed comparsion of Recent Vision Transformers on ImageNet1k

2

imagenet.pytorch. Python

2

Library. all

1

mmdet1. Python

1

ECommerce. test

1

SuperPixelNet.

1

mmdetection3d-0.10.0. Python

1

RENYI.

1

OLTR. Python

1

DeepMetric. Python

1

khdj. 康护到家

1