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Kunming University of Scienceand Technology
- Kunming University of Scienceand Technology
Highlights
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Stars
Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions (NeurIPS 2024)
Learning Domain Invariant Prompt for Vision-Language Models
[CVPR 2025] Official repository of the paper "Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation"
[ICLR'25] Official repository of paper titled "Tree of Attributes Prompt Learning for Vision-Language Models".
Official PyTorch Code for Anchor Token Guided Prompt Learning Methods: [ICCV 2025] ATPrompt and [Arxiv 2511.21188] AnchorOPT
A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
(ECCV 2024) VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
NeurIPS 24 ProMISe: Promptable Medical Image Segmentation using SAM Offical Implementation
[MICCAI 2024 Spotlight, Early Acceptance] PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
PA-SAM: Prompt Adapter SAM for High-quality Image Segmentation
[NeurIPS 2024] MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts (CVPR 2024)
This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"
This is the official repo for "Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation"
The official implementation code for Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater.
ICCV2023 | Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
This is a multimodal semantic segmentation method, named CAINet: Context-Aware Interaction Network for RGB-T Semantic Segmentation.
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper …
SegDecNet++: an official PyTorch implementation for "Automated detection and segmentation of cracks in concrete surfaces using joined segmentation and classification deep neural network" paper
Code repository for the paper "DMF-Net: A Dual Remote Sensing Image Fusion Network Based on Multi-Scale Convolutional Dense Connectivity with Performance Measure".