基于科研论文导向的可视化绘图集锦

LangGPT: Empowering everyone to become a prompt expert!🚀 Structured Prompt，Language of GPT, 结构化提示词，结构化Prompt

Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR'22 Oral & TPAMI'23).

致力于实习/校招/社招进大厂打法，计算机基础知识学习，C++、Java、算法学习路线，专注于编程打法！

CLIP-Driven Fine-grained Text-Image Person Re-identification

Master programming by recreating your favorite technologies from scratch.

An opinionated list of awesome Python frameworks, libraries, software and resources.

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

This is the official implementation for our CVPR2024 paper "Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation". The code will be released soon. Thanks for your attention.