lwpyh

lwpyh.github.io1

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academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

GenSAMplusplus

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

CoMatch

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

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

GenSAM

GenSAM codes

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"

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.

Uni-MTDA

visual-chatgpt

VisualChatGPT

zero-shot-hard-sample-segemetation

SAM hard samples solutions