zhilyzhang

zhilyzhang's Stars

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.7k2821.7k8.2k

• facebookresearch/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.

  Language:Jupyter Notebook48.4k3146805.7k

• IDEA-Research/T-Rex

  [ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

  Language:Python2.3k4089153

• ucbdrive/few-shot-object-detection

  Implementations of few-shot object detection benchmarks

  Language:Python1.1k28187224

• Jack-bo1220/Awesome-Remote-Sensing-Foundation-Models

  1k452496

• bubbliiiing/yolov7-pytorch

  这是一个yolov7的库，可以用于训练自己的数据集。

  Language:Python8875131154

• xiaomengyc/Few-Shot-Semantic-Segmentation-Papers

  Few Shot Semantic Segmentation Papers

  8544724101

• murufeng/awesome_lightweight_networks

  The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

  Language:Python8391510161

• jia-zhuang/pytorch-multi-gpu-training

  整理 pytorch 单机多 GPU 训练方法与原理

  Language:Python7885883

• CAPTAIN-WHU/DOTA_devkit

  Language:Jupyter Notebook6491668185

• ZhangGongjie/Meta-DETR

  [T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

  Language:Python393128584

• Lydorn/Polygonization-by-Frame-Field-Learning

  This repository contains the code for our fast polygonal building extraction from overhead images pipeline.

  Language:Python297134569

• zhang-tao-whu/e2ec

  E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

  Language:Python21994846

• WHULuoJiaTeam/luojianet

  Language:C++18992037

• WHU-Sigma/HyperSIGMA

  The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

  Language:Python17241716

• lxn96/awesome-few-shot-object-detection

  Collect some papers and datastes about few-shot object detection for computer vision.

  1545015

• GuangxingHan/FCT

  Code for CVPR 2022 Oral paper: 'Few-Shot Object Detection with Fully Cross-Transformer'

  Language:Python7843315

• flyinglynx/Bilinear-Matching-Network

  Official implementation for CVPR 2022 paper "Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting".

  Language:Python704129

• lauraset/Super-resolution-building-height-estimation

  Language:Python54157

• YouHuang67/InterFormer

  Language:Python43185

• amlarraz/MSRF-Net_PyTorch

  Unofficial code of MSRF-Net developed in PyTorch

  Language:Python20362

• opengeospatial/TrainingDML-AI_SWG

  Language:HTML179612

• zhilyzhang/AQSNet

  On the automatic quality assessment of annotated sample data for object extraction from remote sensing imagery

  Language:Python13200

• zhilyzhang/ESFFNet

  Enhanced Semantic-positional Feature Fusion Network via Diverse Pre-trained Encoders for Remote Sensing Image Water-body Segmentation

  7100

• EarthVisionLab/EVLab-SS-dataset

  EVLab-SS dataset is a semantic segmentation benchmark proposed and leaded by Prof. Xiangyun Hu and created by Dr. Mi Zhang and other EVLab members.

  41

• xujiabo/SCREAM

  Non-overlapping Point Cloud Registration and Ground Generation

  Language:Python4120

• zhilyzhang/IBS-AQSNet

  Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery

  Language:Python4200

• zhilyzhang/ICODet

  A new identical-class object detection network (ICODet) is proposed, leveraging image similarities by using a comprehensive analysis of both semantic and spatial features across support target features and queried image features.

  2110

• xujiabo/ForestCanopyToTree

  A "10-forest" dataset for studying the generation of tree models based on crown point clouds

  Language:Python1100

• zhilyzhang/EVLab-SS-dataset

  EVLab-SS dataset is a semantic segmentation benchmark proposed and leaded by Prof. Xiangyun Hu and created by Dr. Mi Zhang and other EVLab members.

  1000