xhl-video

xhl-video's Stars

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.4k51225562

• LargeWorldModel/LWM

  Large World Model -- Modeling Text and Video with Millions Context

  Language:Python7.3k6672557

• FoundationVision/VAR

  [NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

  Language:Jupyter Notebook7k103136446

• google-research/big_vision

  Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

  Language:Jupyter Notebook2.7k3972177

• ytongbai/LVM

  Language:Python1.8k1162459

• MCG-NJU/VideoMAE

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

  Language:Python1.5k15125143

• apple/ml-aim

  This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

  Language:Python1.2k262760

• Sense-X/UniFormer

  [ICLR2022] official implementation of UniFormer

  Language:Python84910133113

• bytedance/ibot

  iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

  Language:Jupyter Notebook71453580

• facebookresearch/flip

  Official Open Source code for "Scaling Language-Image Pre-training via Masking"

  Language:Python4156216

• UCSC-VLAA/CLIPA

  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"

  Language:Python311141214

• Beckschen/3D-TransUNet

  This is the official repository for the paper "3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers"

  Language:Python23733420

• ytongbai/ViTs-vs-CNNs

  [NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)

  Language:Python17715910

• UCSC-VLAA/RobustCNN

  [ICLR 2023] This repository includes the official implementation our paper "Can CNNs Be More Robust Than Transformers?"

  Language:Python1433113

• UCSC-VLAA/Recap-DataComp-1B

  This is the official repository of our paper "What If We Recaption Billions of Web Images with LLaMA-3 ?"

  1285161

• ggjy/DeLVM

  Language:Python1142108

• UCSC-VLAA/DMAE

  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"

  Language:Python104385

• OliverRensu/D-iGPT

  [ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Learners"

  Language:Python97308

• patil-suraj/vit-vqgan

  JAX implementation ViT-VQGAN

  Language:Python8261411

• OliverRensu/ARM

  This repository is the official implementation of our Autoregressive Pretraining with Mamba in Vision

  Language:Python70271

• nazmul-karim170/UNICON

  [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

  Language:Python6121215

• OliverRensu/MVG

  Language:Python56325

• UCSC-VLAA/CRATE-alpha

  This repository includes the official implementation our paper "Scaling White-Box Transformers for Vision"

  Language:Python46321

• UCSC-VLAA/EVP

  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"

  Language:Python39104

• meijieru/fast_advprop

  [ICLR 2022]: Fast AdvProp

  Language:Python34510

• yuyinzhou/L2B

  This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".

  Language:Python32353

• UCSC-VLAA/CLIPS

  An Enhanced CLIP Framework for Learning with Synthetic Captions

  Language:Python27331

• UCSC-VLAA/FedConv

  [TMLR'24] This repository includes the official implementation our paper "FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning"

  Language:Python25100

• UCSC-VLAA/AdvXL

  [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"

  Language:Python19251

• UCSC-VLAA/Image-Pretraining-for-Video

  [ECCV 2022] This repository includes the official implementation our paper "In Defense of Image Pre-Training for Spatiotemporal Recognition".

  Language:Python19010