1349949

1349949's Stars

• openai/evals

  Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

  Language:Python15.3k2632152.6k

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.7k815051k

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.6k4483593

• facebookresearch/Mask2Former

  Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

  Language:Python2.6k28238396

• OpenGVLab/InternImage

  [CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

  Language:Python2.6k36268239

• mit-han-lab/bevfusion

  [ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

  Language:Python2.4k41607437

• baaivision/EVA

  EVA Series: Visual Representation Fantasies from BAAI

  Language:Python2.4k30163170

• IDEA-Research/DINO

  [ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

  Language:Python2.3k32266265

• ShoufaChen/DiffusionDet

  [ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

  Language:Python2.1k17115163

• MasterBin-IIAU/UNINEXT

  [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

  Language:Python1.5k10157158

• HuangJunJie2017/BEVDet

  Code base of the BEVDet series .

  Language:Python1.5k35363267

• MCG-NJU/VideoMAE

  [NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

  Language:Python1.4k16125137

• chaytonmin/Awesome-BEV-Perception-Multi-Cameras

  Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD

  1k527109

• megvii-research/PETR

  [ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

  Language:Python88815162134

• Megvii-BaseDetection/BEVDepth

  Official code for BEVDepth.

  Language:Python74115167103

• aharley/simple_bev

  A Simple Baseline for BEV Perception

  Language:Python51486079

• TRI-ML/DDAD

  Dense Depth for Autonomous Driving (DDAD) dataset.

  Language:Python498343456

• facebookresearch/msn

  Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

  Language:Python451122433

• autonomousvision/kitti360Scripts

  This repository contains utility scripts for the KITTI-360 dataset.

  Language:Python3971713263

• hancyran/RepSurf

  [CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"

  Language:Python33563525

• TuSimple/centerformer

  Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)

  Language:Python294123928

• Megvii-BaseDetection/BEVStereo

  Official code for BEVStereo

  Language:Python261131415

• Divadi/SOLOFusion

  Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

  Language:Python242162613

• lucidrains/glom-pytorch

  An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emergent part-whole heirarchies from data

  Language:Python19315727

• AutoVision-cloud/SSL-Lanes

  [CoRL-2022] SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving

  Language:Jupyter Notebook1184615

• yichen928/STRL

  Code for the paper "Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds" (ICCV 2021)

  Language:Python74798

• Sense-X/AGVM

  Large-batch Optimization for Dense Visual Predictions (NeurIPS 2022)

  Language:Python56323

• d1024choi/HLSTrajForecast

  The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.

  Language:Python37336

• HFAiLab/hdmapnet

  Language:Python36366

• lzhbrian/Awesome-BEV-Papers

  20201