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Daehan Kim's Projects

adaptsegnet icon adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

daformer icon daformer

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

darknet-crowdhuman icon darknet-crowdhuman

YOLO Detector for the CrowdHuman Dataset. Detects people and heads. Contains training instructions on how to convert between CrowdHuman and Darknet annotations

db icon db

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

dbpn-pytorch icon dbpn-pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

edsr-pytorch icon edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

fda icon fda

Fourier Domain Adaptation for Semantic Segmentation

gicd icon gicd

[ECCV 2020] Gradient-Induced Co-Saliency Detection

hrnet-semantic-segmentation icon hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

iast icon iast

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020)

mirnet icon mirnet

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020)

simple-ssd-for-beginners icon simple-ssd-for-beginners

This repository contains easy SSD(Single Shot MultiBox Detector) implemented with Pytorch and is easy to read and learn

tdan-vsr icon tdan-vsr

This is the official Pytorch implementation of TDAN-CVPR 2020.

tensorrt icon tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

yolov5 icon yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

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