changgimoon Goto Github PK

abandon_bayer-filter_see_in_the_dark

Source code for CVPR2022 paper "Abandoning the Bayer-Filter to See in the Dark"

adaface

automold--road-augmentation-library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

awesome-data-annotation

A list of tools for annotating data, managing annotations, etc.

awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

awesome-multiple-object-tracking

Resources for Multiple Object Tracking(MOT)

awesome-robotics-datasets

A collection of useful datasets for robotics and computer vision

awesome-self-supervised-papers

Paper bank for Self-Supervised Learning

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

ayolov2

bfjdet

bot-sort

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

cold-diffusion-models

Official implementation of Cold-Diffusion for different transformations in pytorch.

cross_focal_loss

Code for Cross-dataset Training

cvpr2022-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

dancetrack

DanceTrack: Multiple Object Tracking in Uniform Appearance and Diverse Motion

data_augmentation_zoo_for_object_detection

Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

detectron2

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

dino

Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

face-hallucination-benchmark

A collection of state-of-the-art face super-resolution/hallucination methods

fiftyone

The open-source tool for building high-quality datasets and computer vision models

gmphd-ogm_tracker

This repository includes a C/C++ Implementation of the GMPHD-OGM tracker with a demo code.

gradio

Create UIs for your machine learning model in Python in 3 minutes

gslam

A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.

headhunter

Code for the head detector (HeadHunter) proposed in our CVPR 2021 paper Tracking Pedestrian Heads in Dense Crowd.

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

iqa-optimization

Comparison of IQA models in Perceptual Optimization