zhaoxin94

English-level-up-tips

An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程。

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

fiftyone

The open-source tool for building high-quality datasets and computer vision models

Awesome-Incremental-Learning

Awesome Incremental Learning

Macaw-LLM

Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration

The-Elements-of-Statistical-Learning-Python-Notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

LLM-in-Vision

Recent LLM-based CV and related works. Welcome to comment/contribute!

EdgeSAM

Official PyTorch implementation of "EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM"

Awesome-Segment-Anything

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

cross_modal_adaptation

Cross-modal few-shot adaptation with CLIP

RemoteCLIP

🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)

Awesome-Optimal-Transport-in-Deep-Learning

a collection of AWESOME things about Optimal Transport in Deep Learning

CLIPN

ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

PromptAlign

[NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization

discrete_mathematics_and_its_applications

Solutions for Exercises from Discrete Mathematics and Its Applications by Dr. Keeneth H. Rosen

dream-ood

source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"

DiffTPT

【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning

ICLR24

Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"

IOMatch

[ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization

MLRSNet

A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

RS-CLIP

Efficient-CLS

[ICCV 2023] Label-Efficient Online Continual Object Detection in Streaming Video

CT-pytorch

Repository for conditional transport

SAM-MaperNet

Generalizing the Segment Anything Model to Any Image Modality

GOAT

ICON

Accepted by NeurIPS 2023

InMaP

PyTorch Implementation for InMaP

ESCORT

Official implementation of Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning.

CLIP_models

gen_sar_plora