Zmoonzxz

Zmoonzxz's Stars

• whai362/PVT

  Official implementation of PVT series

  Language:Python1.7k248

• vaynexie/CausalX-ViT

  Language:Jupyter Notebook16

• anheidelonghu/ACNet

  ACNet: Attention Complementary Network for RGBD semantic segmentation

  Language:Python16127

• ViTAE-Transformer/ViTAE-Transformer

  The official repo for [NeurIPS'21] "ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias" and [IJCV'22] "ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond"

  Language:Python25428

• ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing

  A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

  Language:TeX46353

• zhihou7/BatchFormer

  CVPR2022, BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning, https://arxiv.org/abs/2203.01522

  Language:Python24821

• LeapLabTHU/DAT

  Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

  Language:Python79974

• Sense-X/UniFormer

  [ICLR2022] official implementation of UniFormer

  Language:Python830111

• cmhungsteve/Awesome-Transformer-Attention

  An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

  4.7k490

• lxtGH/DecoupleSegNets

  [ECCV-2020]: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

  Language:Python37136

• rayleizhu/BiFormer

  [CVPR 2023] Official code release of our paper "BiFormer: Vision Transformer with Bi-Level Routing Attention"

  Language:Python50141

• lxtGH/Awesome-Segmentation-With-Transformer

  [T-PAMI-2024] Transformer-Based Visual Segmentation: A Survey

  70148

• donnyyou/torchcv

  TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

  Language:Shell2.3k378

• lxtGH/SFSegNets

  [ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing

  Language:Python37543

• WangLibo1995/GeoSeg

  UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

  Language:Python750114

• MehmetAygun/fusenet-pytorch

  Language:Python8117

• Res2Net/Res2Net-PretrainedModels

  (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

  Language:Python1.1k215

• NVlabs/SegFormer

  Official PyTorch implementation of SegFormer

  Language:Python2.6k357

• Junjue-Wang/LoveDA

  [NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

  Language:Python36350

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.7k1.6k

• YimianDai/open-aff

  code and trained models for "Attentional Feature Fusion"

  Language:Python74595

• Zhaozixiang1228/MMIF-CDDFuse

  [CVPR 2023] Official implementation for "CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion."

  Language:Python42540

• RS-CSU/CNSPN

  code of CNSPN

  Language:Python7

• Yangzhangcst/Transformer-in-Computer-Vision

  A paper list of some recent Transformer-based CV works.

  1.1k138

• Yangzhangcst/RGBD-semantic-segmentation

  A paper list of RGBD semantic segmentation (processing)

  38435

• jxbz/agd

  Automatic gradient descent

  Language:TeX20613

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  Language:HTML341k61.9k

• WangQvQ/YOLOMagic

  YOLO Magic🪄 is an extension based on Ultralytics' YOLOv5, designed to provide more powerful functionality and simpler operations for visual tasks.

  Language:Python51376

• hszhao/semseg

  Semantic Segmentation in Pytorch

  Language:Python1.3k244

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python51.2k16.4k