park123man Goto Github PK

asff

yolov3 with mobilenet v2 and ASFF

awesome-backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

c2fnet

Context-aware Cross-level Fusion Network for Camouflaged Object Detection

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

centernet

Object detection, 3D detection, and pose estimation using center point detection:

cfpnet

Centralized Feature Pyramid for Object Detection

cityscapesscripts

README and scripts for the Cityscapes Dataset

cmt.pytorch

CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).

coat

(ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers

cocoapi

COCO API - Dataset @ http://cocodataset.org/

cornernet

cotnet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cswin-transformer

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dat

PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"

dcd

official code for dynamic convolution decomposition

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dilateformer

dscnet

Pytorch Implement of Dynamic Snake Convolution (ICCV2023)

dynamic-multiframe-depth

[CVPR 2023] Multi-frame depth estimation in dynamic scenes. -- Li, Rui, et al. "Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes".

efficient-computing

Efficient computing methods developed by Huawei Noah's Ark Lab

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

efficientnet-unet

efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐