HITerStudy's Stars
OpenGVLab/InternImage
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
baaivision/EVA
EVA Series: Visual Representation Fantasies from BAAI
whai362/PVT
Official implementation of PVT series
facebookresearch/ConvNeXt-V2
Code release for ConvNeXt V2 model
LeapLabTHU/DAT
Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention
sail-sg/Adan
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
bytedance/ibot
iBOT :robot:: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
Westlake-AI/openmixup
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
ViTAE-Transformer/ViTDet
Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"
LiheYoung/UniMatch
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
lxtGH/CAE
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
sunsmarterjie/iTPN
(CVPR2023/TPAMI2024) Integrally Pre-Trained Transformer Pyramid Networks -- A Hierarchical Vision Transformer for Masked Image Modeling
zhaozhengChen/ReCAM
The official code of CVPR 2022 paper (Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation).
Sense-X/MixMIM
MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
jbeomlee93/AdvCAM
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)
MingXiangL/SPE
Official implementation of ECCV2022 paper End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution
dongbo811/AFFormer
karttikeya/minREV
A simple minimal implementation of Reversible Vision Transformers
facebookresearch/long_seq_mae
code release of research paper "Exploring Long-Sequence Masked Autoencoders"
zejiangh/MILAN
PyTorch implementation of the paper "MILAN: Masked Image Pretraining on Language Assisted Representation" https://arxiv.org/pdf/2208.06049.pdf.
amazon-science/omni-detr
PyTorch implementation of Omni-DETR for omni-supervised object detection: https://arxiv.org/abs/2203.16089
Mazin-Hnewa/MS-DAYOLO
Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection
Alpha-VL/FastConvMAE
zhangq327/U-MAE
Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
liuxingbin/dbot
[ICLR2024] Exploring Target Representations for Masked Autoencoders
ggjy/FastMIM.pytorch
FastMIM, official pytorch implementation of our paper "FastMIM: Expediting Masked Image Modeling Pre-training for Vision"(https://arxiv.org/pdf/2212.06593.pdf).
usr922/FST
[NeurIPS'22] Learning from Future: A Novel Self-Training Framework for Semantic Segmentation.
JLChen-C/SemFormer
Li-Qingyun/mmdetection
OpenMMLab Detection Toolbox and Benchmark
mx-mark/DMJD
PyTorch implementation of Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling