WenjunHui1

Learning-About-Data-Structure. 武汉大学计算机学院数据结构教材课件及学习过程中自己码的和部分ppt附的源程序

cv_class. 七月算法 - 计算机视觉课程 课件

courses. 课件：数字图像处理，深度学习，计算机视觉，机器学习

military-and-civilian-vehicles-dataset-trained. A dataset with military and civillian vehicles, planes and helicopters and trained weights (pyTorch format) based on a custom Yolov5s model trained on Nvidia Tesla K4 with 100 epochs. Dataset source: https://data.mendeley.com/datasets/njdjkbxdpn/1

segment-anything-annotator. We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets

LVVIS. Large-Vocabulary Video Instance Segmentation dataset

awesome-public-datasets. A topic-centric list of HQ open datasets.

DataFlow. Easy Data Preparation with latest LLMs-based Operators and Pipelines.

ODinMJ-RGB-T-Dataset. The ODinMJ RGB-T dataset is an object detection RGB-T dataset for mountain jungle scenes.

Text4Seg. [ICLR2025] Text4Seg: Reimagining Image Segmentation as Text Generation

Concealed-Dense-Prediction. The official code and dataset of paper: Deep Learning in Concealed Dense Prediction

Awesome-Open-Vocabulary-Semantic-Segmentation. A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..

SegAgent. [CVPR2025] SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories

RGBT-Tiny. Repository for "Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines"

awesome-concealed-object-segmentation.

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

ssl-rgb2ir. Python

Pix2PixGAN. Using GAN to generate a network to convert visible light video to infrared video

IRFormer. [IJCNN 2024] Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model

IVIF_ZOO. Infrared and Visible Image Fusion: From Data Compatibility to Task Adaption. A fire-new survey for infrared and visible image fusion.

CCPL. [ECCV 2022 Oral] Official Pytorch implementation of CCPL and SCTNet

TSP-SAM. Python

C2P-CLIP-DeepfakeDetection. C2P-CLIP-DeepfakeDetection

Awesome-RGBT. RGB-T Fusion, RGB-T SOD, RGB-T Vehicle Detection, RGB-T Crowd Counting, RGB-T Pedestrian Detection, RGB-T Semantic Segmeantaion, RGB-T Tracking

O1-CODER. AN O1 REPLICATION FOR CODING

PySODEvalToolkit. PySODEvalToolkit: A Python-based Evaluation Toolbox for Salient Object Detection and Camouflaged Object Detection

Camouflage-dataset.

GRCAM-Master. Gradient-based refined class activation map for weakly supervised object localization

FollowYourClick. [AAAI 2025] Follow-Your-Click: This repo is the official implementation of "Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts"

LLaVA-NeXT-Image-Llama3-Lora. LLaVA-NeXT-Image-Llama3-Lora, Modified from https://github.com/arielnlee/LLaVA-1.6-ft

Camouflaged-Data.

VSCode. Code release for "VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning" & "VSCode-v2: Dynamic Prompt Learning for General Visual Salient and Camouflaged Object Detection with Two-Stage Optimization"

CoOp. Prompt Learning for Vision-Language Models, with improvements to train and evaluate on PatternNet and UCMerced Datasets

Biodiversity. Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.

NPR-DeepfakeDetection. Python

Video-LLaVA. 【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

MDT. Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)

Open-Sora. Open-Sora: Democratizing Efficient Video Production for All

Awesome-AISourceHub. 本仓库收集AI科技领域高质量信息源。 可以起到一个同步信息源的作用，避免信息差和信息茧房。

CSU. Concealed Scene Understanding, Visual Intelligence (VI), 2023

SINet-V2. Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.

M3DM. Python

genforce. An efficient PyTorch library for deep generative modeling.

PyTorch-StudioGAN. StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

MUCAD. Multispectral dastaset for camouflage detection

Camouflaged-people-detection. Matlab

Awesome-Prompt-Engineering. This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

awesome-instruction-prompted-vision. A curated list of instruction-prompted visual translation papers

RefCOD. Official Code for 'Referring Camouflaged Object Detection (指向性伪装物体检测) ' (TPAMI 2025)

CLIP. CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

ZoomNet. Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022

FastSAM. Fast Segment Anything

Explicit-Visual-Prompt. [CVPR 2023 & TPAMI 2025] Explicit Visual Prompting for Low-Level Structure Segmentations

CAVER. CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection

awesome_lists. Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

VOS_Correspondence. Official code for CVPR2023 Boosting Video Object Segmentation via Space-time Correspondence Learning

ViT-Adapter. [ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

Awesome_Multimodel_LLM. Awesome_Multimodel is a curated GitHub repository that provides a comprehensive collection of resources for Multimodal Large Language Models (MLLM). It covers datasets, tuning techniques, in-context learning, visual reasoning, foundational models, and more. Stay updated with the latest advancement.

visual_prompting. Exploring Visual Prompts for Adapting Large-Scale Models

SINet. Camouflaged Object Detection, CVPR 2020 (Oral)

Awesome-Multimodal-Large-Language-Models. :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

LLM-Adapters. Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

awesome-instruction-learning. Papers and Datasets on Instruction Tuning and Following. ✨✨✨

LAMM. [NeurIPS 2023 Datasets and Benchmarks Track] LAMM: Multi-Modal Large Language Models and Applications as AI Agents

awesome-multimodal-in-medical-imaging. A collection of resources on applications of multi-modal learning in medical imaging.

awesome-Vision-and-Language-Pre-training. Recent Advances in Vision and Language Pre-training (VLP)

Awesome-CLIP. Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

Awesome-Foundation-Models. A curated list of foundation models for vision and language tasks

Awesome-Open-Vocabulary. (TPAMI 2024) A Survey on Open Vocabulary Learning

LLaVA. [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

prompt-pretraining. Official implementation for the paper "Prompt Pre-Training with Over Twenty-Thousand Classes for Open-Vocabulary Visual Recognition"

LISA. Project Page for "LISA: Reasoning Segmentation via Large Language Model"

Awesome-CV-Foundational-Models.

awesome-camouflaged-object-detection. A curated list of awesome resources for camouflaged/concealed object detection (COD).

LLaMA-Adapter. [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

awesome-segment-anything. Tracking and collecting papers/projects/others related to Segment Anything.