MillX2021

MillX2021's Stars

• CASIA-IVA-Lab/AnomalyGPT

  [AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

  Language:Python64869376

• siyuanliii/masa

  Official Implementation of CVPR24 paper: Matching Anything by Segmenting Anything

  51115

• cure-lab/MagicDrive

  [ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”

  Language:Python401173220

• OpenDriveLab/Vista

  A Generalizable World Model for Autonomous Driving

  Language:Python32019512

• longzw1997/Open-GroundingDino

  This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

  Language:Python27427142

• GitGyun/visual_token_matching

  [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

  Language:Python24871713

• nnanhuang/S3Gaussian

  Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving

  Language:Python2449712

• JiayuanWang-JW/YOLOv8-multi-task

  Language:Python18225628

• huang-yh/GaussianFormer

  Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction

  1195

• dcmlr/groundgrid

  Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"

  Language:C++98506

• vignywang/SAMFeat

  The official implementation of “Segment Anything Model is a Good Teacher for Local Feature Learning”.

  Language:Python98643

• swc-17/SparseDrive

  862

• wzzheng/OccSora

  OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

  Language:Python736

• alibaba/conv-llava

  Language:Python67333

• PJLab-ADG/LeapAD

  Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

  40403

• yihedeng9/STIC

  Enhancing Large Vision Language Models with Self-Training on Image Comprehension.

  Language:Python31302

• KuanchihHuang/Reason3D

  Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model

  301

• aim-uofa/DiverGen

  DiverGen (CVPR 2024) & BSGAL (ICML 2024)

  29410

• aminebdj/OpenYOLO3D

  Our OpenYOLO3D model achieves state-of-the-art performance in Open Vocabulary 3D Instance Segmentation on ScanNet200 and Replica datasets with up ∼16x speedup compared to the best existing method in literature.

  Language:Python240

• MaxZanella/CLIP-LoRA

  [CVPRW 2024] Low-Rank Adaptation for few-shot Vision-Language Models (CLIP-LoRA): a strong baseline without hyperparameter tuning.

  Language:Python22

• importZL/BLO-SAM

  Language:Python19211

• HanchenTai/OV-SAM3D

  Open-Vocabulary SAM3D: Understand Any 3D Scene

  15

• marcointrovigne/WeatherDetection

  Language:Python120

• nini0919/SemiRES

  The official implementation of SemiRES in PyTorch.

  Language:Python10

• yuhui-zh15/VLMClassifier

  Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?"

  Language:Python81

• SLDGroup/PP-SAM

  71

• Duojun-Huang/AlignSAM-CVPR2024

  Pytorch official implementation for our CVPR-2024 paper "AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning".

  6

• qinzheng2000/GeneralTrack

  Language:Python51

• SegoleneMartin/transductive-CLIP

  Language:Python51

• xiaomoguhz/OV-DQUO

  Language:Python51