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yawudede's Projects

dsegmentation icon dsegmentation

This repos contains all implementations used in the paper "MULTICLASS WEIGHTED LOSS FOR INSTANCE SEGMENTATION OF CLUTTERED CELLS" accepted at ICIP 2018.

dunit icon dunit

Detection based unsupervised image to image translation

eesrgan icon eesrgan

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

fcos icon fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

gaia-det icon gaia-det

A Transfer Learning System in Object Detection

gghl icon gghl

This is the implementation of GGHL (A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection)

glnet icon glnet

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

gscnn icon gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

guided-pix2pix icon guided-pix2pix

[ICCV 2019] Guided Image-to-Image Translation with Bi-Directional Feature Transformation

hdrnet icon hdrnet

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

hrsid icon hrsid

HRSID: high resolution sar images dataset for ship detection, semantic segmentation, and instance segmentation tasks.

insects-detection icon insects-detection

Object detection and classification of insects using Keras Retinanet with backbone resnet50.

instagan icon instagan

InstaGAN: Instance-aware Image Translation (ICLR 2019)

lvc icon lvc

Official repo for our CVPR 22 paper: "Label, Verify, Correct: A Simple Few-Shot Object Detection Method"

make_voc2007 icon make_voc2007

制作自己的VOC2007数据集用于faster-rcnn目标检测模型训练

metar-cnn icon metar-cnn

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning

micronet icon micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

mirnet icon mirnet

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

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