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city-scapes-script

Download City Scapes Dataset using this script

da-faster-rcnn

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

damov

DAMOV is a benchmark suite and a methodical framework targeting the study of data movement bottlenecks in modern applications. It is intended to study new architectures, such as near-data processing. Described by Oliveira et al. (preliminary version at https://arxiv.org/pdf/2105.03725.pdf)

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

dctnet

del

detectron2

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

domain-adaptive-faster-rcnn-pytorch

Domain Adaptive Faster R-CNN in PyTorch

ecotta_tta

This is a community implementation for the paper EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization

fewshot-egnn

isu

Repository for IDSL Server Utility

lisr

Dasandata's Linux Install Standard Recipes

machinelearning

선형대수와 통계학으로 배우는 머신러닝 with 파이썬

pimflow

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

robustness

Corruption and Perturbation Robustness (ICLR 2019)

robustnet_tta

Official PyTorch implementation of RobustNet (CVPR 2021 Oral)

sam_pimsimulator

Processing-In-Memory (PIM) Simulator with Samsung

ssd_bdd

-Object detection on Cars on BDD dataset using SSD

transfer-learning-library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization