lwpyh's repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-segment-anything
Tracking and collecting papers/projects/others related to Segment Anything.
CLIP_Surgery
CLIP Surgery for Better Explainability with Enhancement in Open-Vocabulary Tasks
crg
PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"
CST
Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
DAPrompt
Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687
Domain-Consensus-Clustering
[CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation
Grounded-Segment-Anything
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
LADS
Official Implementation of LADS (Latent Augmentation using Domain descriptionS)
llama
Inference code for LLaMA models
LLaVA-Align
This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.
lwpyh.github.io
Personal website codes
Octopus
🐙Octopus, an embodied vision-language model trained with RLEF, emerging superior in embodied visual planning and programming.
PODA
Official implementation of "PODA: Prompt-driven Zero-shot Domain adaptation"
ProMaC
ProMaC website
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
SHOT-plus
code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
SSRT
Safe Self-Refinement for Transformer-based Domain Adaptation (CVPR 2022)
StableLLAVA
Official repo for StableLLAVA
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
visual-chatgpt
VisualChatGPT
zero-shot-hard-sample-segemetation
SAM hard samples solutions