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ml-lab's Projects

cudak2nn icon cudak2nn

Insanely fast CUDA 2NN 512-bit binary descriptor matcher for computer vision

cudalatch icon cudalatch

GPU implementation of LATCH descriptor & matcher.

cumf icon cumf

CUDA-Acclerated ALS on mulitple GPUs

cure-tsd icon cure-tsd

CURE-TSD: Challenging Unreal and Real Environments for Traffic Sign Detection

curve-gcn icon curve-gcn

Official PyTorch code for Curve-GCN (CVPR 2019)

cutout icon cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

cvat icon cvat

Powerful and efficient Computer Vision Annotion Tool (CVAT)

cvpr15deepcompare icon cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

cvpr18-sftgan icon cvpr18-sftgan

Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform (CVPR 2018) http://mmlab.ie.cuhk.edu.hk/projects/SFTGAN/

cvpr2016 icon cvpr2016

Learning Deep Representations of Fine-grained Visual Descriptions

cycle-gan-tf icon cycle-gan-tf

Reimplementation of cycle-gan(https://arxiv.org/pdf/1703.10593.pdf) with improved w-gan(https://arxiv.org/abs/1704.00028) loss in tensorflow.

cyclegan icon cyclegan

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

d2l-en icon d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

da-faster-rcnn icon da-faster-rcnn

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

da-rnn icon da-rnn

Semantic Mapping with Data Associated Recurrent Neural Networks

daanet icon daanet

DAANet: Dual Ask-Answer Network for Machine Reading Comprehension

dagan icon dagan

DAGAN: Data Augmentation Generative Adversarial Networks

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