genghaokun301

genghaokun301's Stars

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.3k3689.3k16.3k

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.6k12730490

• damo-cv/TransReID

  [ICCV-2021] TransReID: Transformer-based Object Re-Identification

  Language:Python812785176

• layumi/Vehicle_reID-Collection

  :red_car: the collection of vehicle re-ID papers, datasets. :red_car:

  45617351

• qhfan/RMT

  (CVPR2024)RMT: Retentive Networks Meet Vision Transformer

  Language:Python278143419

• Project-AgML/AgML

  AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

  Language:Python180122628

• microsoft/SNR

  Style Normalization and Restitution for Domain Generalization and Adaptation

  Language:Jupyter Notebook7531110

• vimar-gu/MSINet

  [CVPR2023] Twins Contrastive Search of Multi-Scale Interaction for Object Re-Identification

  Language:Python681147

• pratikkayal/PlantDoc-Object-Detection-Dataset

  622342

• kaigelee/CSFCN

  Real-time Semantic Segmentation

  Language:Python49251

• ljn114514/GLTR

  Global-Local Temporal Representations For Video Person Re-Identification

  Language:Python39153

• iCVTEAM/HRCN

  Heterogeneous Relational Complement for Vehicle Re-identification, ICCV 2021

  Language:Python20535

• JiuqingDong/PlantDiseaseDetection_Yolov5

  Language:Python12200

• peterzpy/ACL-DGReID

  Language:Python12154

• wenyu1009/PGANet

  official code for PGANet

  Language:Python9141

• tanaymeh/leaf-disease-detection

  Deep Learning Model I made using PyTorch for Cassava Leaf Disease Classification

  Language:Python8102

• marklionsy/CANnet-Cotton-disease-identification

  CANnet is mainly used for intelligent identification of crop diseases, and can achieve a high identification accuracy.

  Language:Python3

• stone96123/SA-Softmax

  Pytorch Code for Spectral Aware Softmax for Visible-Infrared Person ReIdentification

  Language:Python3110

• HuanmengQwQ/WheatLeafDiseaseByPyTorch

  PyTorch CNN for classify Wheat Leaf Disease

  Language:Jupyter Notebook2100

• sahilfaizal01/Strawberry_Leaf_Disease_Detection-YoloV5

  An object detection model using PyTorch to detect leaf disease in Strawberry Plants

  Language:Jupyter Notebook21

• 013zyj/CSMN

  Language:Python1

• aditya0929/Maize-Leave-Disease-Detection

  classification of corn or maize plant leaf diseases

  Language:Jupyter Notebook10

• Amar-AIcloud/Yolo-V5-using-Roboflow

  Identifying the crop diseased leaves using Yolo(object detection)

  Language:Jupyter Notebook10

• hieuGoku/Compare-Cutout-Mixup-Cutmix-Fmix-with-Paddy-Disease-Classification-and-Pytorch-Lightning

  Pytorch Lightning, Cutout, Mixup, Cutmix, Fmix, Paddy Disease Classification

  Language:Jupyter Notebook1201

• joe-xj/CsgoEAE

  Co and Structure-aware for Document-level Event Argument Extraction

  10

• kushwanth2210/leaf-disease-detection-through-pytorch

  leaf disease detection

  Language:Python11

• Lokavardhan/Disease-Detection-for-Corn-Leaf-with-ResNet-PyTorch

  This repository contains an implementation of a deep learning model using the ResNet architecture in PyTorch for detecting diseases in corn leaves. The model is trained to classify images of corn leaves into different disease categories, helping farmers identify and address potential issues in their crops at an early stage.

  Language:Jupyter Notebook1

• Nikhita-Palla/Plant-Leaf-Disease-Detection-using-YOLO

  A comparision between YOLOv5 and YOLOv8 models for plant leaf disease detection

  Language:Jupyter Notebook12

• sdecoder/PaddyDoctorPaddyDiseaseClassification

  Paddy Doctor: Paddy Disease Classification

  Language:Python10

• sxlyiyiyi/cassava-leaf-disease_pytorch

  Language:Python1100