sly985-love's starred repositories
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
objectdetection_script
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
lang-segment-anything
SAM with text prompt
Medical-SAM-Adapter
Adapting Segment Anything Model for Medical Image Segmentation
LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
finetune-anything
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
PointTinyBenchmark
Point based and tiny object detection and localization code set of UCAS-VG
unify-parameter-efficient-tuning
Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)
lightning-sam
Fine-tune Segment-Anything Model with Lightning Fabric.
mmdet-rfla
ECCV22: RFLA
MatchFormer
Repository of MatchFormer
Unet_RSimage_Multi-band_Multi-class
keras遥感图像Unet语义分割(支持多波段&多类)
imp-release
[CVPR 2023] IMP: iterative matching and pose estimation with transformer-based recurrent module
RSI-MMSegmentation
Datasets and Code for: https://arxiv.org/pdf/2305.14914.pdf
LWViTs-for-weedmapping
Weed Mapping in Multispectral Drone Imagery using Lightweight Vision Transformers
tea_leaves_sickness_detection
This project uses a new modified WGAN architecture to generate tea leaves images so as enhance the performances of image classification model.