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swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

swin-transformer-faster-rcnn

swin-transformer-object-detection

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

swint_detectron2

tensorflow-advanced-segmentation-models

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

tf-cpn

Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018)

tf-eager-fasterrcnn

Faster R-CNN R-101-FPN model was implemented with TensorFlow2.0 eager execution.

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

tf-faster-rcnn-1

TensorFlow implementation of Faster R-CNN

tf2_fasterrcnn

tovoc_tococo

make xml and make your own voc dataset; voc to coco dataset

transformer-in-computer-vision

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

transformer-in-vision

Recent Transformer-based CV and related works.

unet-cbam_keras

various-nms-for-object-detetion

Included the standard NMS, Rotate NMS，standard SoftNMS, Rotate SoftNMS, Weighted NMS, Rotate Weighted NMS, Weighted-Boxes-Fusion, Rotate Weighted-Boxes-Fusion

vision

Datasets, Transforms and Models specific to Computer Vision

vision_transformer

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

vitgan

A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.

vitgan-1

[WIP] Unofficial PyTorch implementation for "ViTGAN: Training GANs with Vision Transformers".

vitgan-2

weighted-boxes-fusion

Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

wide-residual-networks

3.8% and 18.3% on CIFAR-10 and CIFAR-100

yolov4-keras-techi

yoloV4 implemented by keras and tf backend. Enjoy it, my homie.

yolov5_nms-soft-nms

Pytorch实现的NMS和Soft-NMS，可直接使用yolov5官方开源的代码中

yolov7-pytorch

这是一个yolov7的库，可以用于训练自己的数据集。

zsd-sc-resolver

Resolving semantic confusions for improved zero-shot detection (BMVC 2022)