Stars
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
YOLO-World + EfficientViT SAM
[ECCV 2024] The official code of paper "Open-Vocabulary SAM".
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
High-Resolution Image Synthesis with Latent Diffusion Models
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Latte: Latent Diffusion Transformer for Video Generation.
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
"Effective Whole-body Pose Estimation with Two-stages Distillation" (ICCV 2023, CV4Metaverse Workshop)
[ICCV 2023] DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers (ECCV 2022)
[ECCV'22 Oral] Towards Grand Unification of Object Tracking