alice-cool

alice-cool's Stars

• 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 Notebook48.5k3136825.7k

• jianzongwu/Awesome-Open-Vocabulary

  (TPAMI 2024) A Survey on Open Vocabulary Learning

  878261450

• liliu-avril/Awesome-Segment-Anything

  This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

  87522758

• TencentARC/SEED-Story

  SEED-Story: Multimodal Long Story Generation with Large Language Model

  Language:Python779153258

• AIDC-AI/Ovis

  A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

  Language:Python59274233

• sstary/SSRS

  Language:Python37738143

• zhengli97/Awesome-Prompt-Adapter-Learning-for-VLMs

  A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.

  3779315

• imagegridworth/IG-VLM

  Language:Python131485

• zhiweihu1103/AgriMa

  后稷-首个开源中文农业大模型

  Language:Python1241721

• Hzzone/PseCo

  (CVPR 2024) Point, Segment and Count: A Generalized Framework for Object Counting

  Language:Jupyter Notebook1044227

• Junjue-Wang/EarthVQA

  [AAAI 2024] EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

  Language:Python953322

• WHB139426/Grounded-Video-LLM

  Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models

  Language:Python75454

• amazon-science/QA-ViT

  Language:Python615107

• BioMedIA-MBZUAI/MedPromptX

  Language:Jupyter Notebook59212

• StephenApX/UCD-SCM

  [IGARSS 2024] Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings

  Language:Python45252

• jinlHe/PeFoMed

  The code for paper: PeFoM-Med: Parameter Efficient Fine-tuning on Multi-modal Large Language Models for Medical Visual Question Answering

  Language:Python36342

• JiajiaLi04/Agriculture-Foundation-Models

  Foundation models & LLMs

  33302

• wchh-2000/SAMPolyBuild

  Adapting the Segment Anything Model for Polygonal Building Extraction

  Language:Python25251

• rabiulcste/vqazero

  visual question answering prompting recipes for large vision-language models

  Language:Python23243

• yzygit1230/SCD-SAM

  Language:Python18151

• Lans1ng/PointSAM

  [TGRS2025] Code for "PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images"

  Language:Python17220

• matthewdm0816/BridgeQA

  [AAAI 24] Official Codebase for BridgeQA: Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA

  Language:Python17351

• GaryGuTC/LaPA_model

  [CVPRW 2024] LaPA: Latent Prompt Assist Model For Medical Visual Question Answering

  Language:Python16270

• codezakh/SelTDA

  [CVPR 23] Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!

  Language:Python14311

• StriveZs/ALPS

  ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model

  Language:Python110

• bowen-upenn/Multi-Agent-VQA

  [CVPR 2024 CVinW] Multi-Agent VQA: Exploring Multi-Agent Foundation Models on Zero-Shot Visual Question Answering

  Language:Python9300

• ControlNet/HYDRA

  [ECCV] HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning

  Language:Python8311

• Lackel/DKA

  [Arxiv 2024] Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models

  Language:Python8211

• thomaswei-cn/MC-CoT

  MC-CoT implementation code

  Language:Python6

• WHB139426/QA-Prompts

  Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge [ECCV'24]

  Language:Python5240