cgn2000's Stars
vikolss/DACS
Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"
zhaoxin94/awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
alpc91/TransDA
This is an official implementation for "Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation"
lhoyer/DAFormer
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
SysCV/sam-hq
Segment Anything in High Quality [NeurIPS 2023]
wasidennis/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Junjue-Wang/LoveCS
[RSE 2022] Cross-sensor domain adaptation for high-spatial resolution urban land-cover mapping: from airborne to spaceborne imagery
all-things-vits/code-samples
Holds code for our CVPR'23 tutorial: All Things ViTs: Understanding and Interpreting Attention in Vision.
baaivision/Painter
Painter & SegGPT Series: Vision Foundation Models from BAAI
KyanChen/RSPrompter
This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"
yifangao112/DeSAM
The official repository for DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation.
CASIA-IVA-Lab/FastSAM
Fast Segment Anything
NVlabs/FasterViT
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
Arnav0400/ViT-Slim
Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”
LeapLabTHU/DAT
Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention
yuexy/PS-ViT
Official implementation of the paper Vision Transformer with Progressive Sampling, ICCV 2021.
tianrun-chen/SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
mitroadmaps/roadtracer
facebookresearch/segment-anything
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.
open-mmlab/mmcv
OpenMMLab Computer Vision Foundation
microsoft/CSWin-Transformer
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022
ViTAE-Transformer/ViTAE-VSA
The official repo for [ECCV'22] "VSA: Learning Varied-Size Window Attention in Vision Transformers"
ChongjianGE/CARE
[NeurIPS 2021] Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Vaczzy/ATeamName-GeoxSegCompetiton
“谁有创意起个队名”队遥感影像语义分割天梯榜
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
fudan-zvg/SETR
[CVPR 2021] Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers