Jenny Liang's repositories

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yolt

You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery

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996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

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AnnotationEnhancer

A mechanism to automatically remove the false positive annotations and make the bounding boxes even tighter on Stanford Drone Dataset

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benchmark_results

visual tracker benchmark results

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darknet

Windows and Linux version of Darknet Yolo v2 & v3 Neural Networks for object detection

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Deep-Learning-for-Tracking-and-Detection

Collection of papers and other resources for object tracking and detection using deep learning

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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forSSD_txt2xml

用caffe实现SSD中,从txt文件格式到xml转变

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JPEG-Reconstruction

Removing compression artifacts using neural networks

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LRP

Localization Recall Precision Performance Metric toolkit for PASCAL-VOC, COCO datasets with Python and MATLAB implementations.

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NetDissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

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opencv_contrib

Repository for OpenCV's extra modules

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PytorchSSD

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

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RefineDet

Single-Shot Refinement Neural Network for Object Detection

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RSICD_optimal

Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)

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Single-Image-Super-Resolution

A collection of high-impact and state-of-the-art SR methods

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SRGAN-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

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super-resolution-detection

End-to-End Super Resolution Object Detection Networks

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Super-Resolution.Benckmark

Benchmark and resources for single super-resolution algorithms

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TF-Visualize-CNN

Find strongest response of convolutional layers on an image dataset. Automatically compute receptive field for any CNN layer.

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TSCN

Caffe implementation of "Two-Stage Convolutional Network for Image Super-Resolution"

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visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

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VisDrone2018

ECCV2018(Challenge-Object Detection in Images)

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VisDrone2018-DET-toolkit

Object Detection in Images toolkit for VisDrone2018

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VisDrone2018-VID-toolkit

Object Detection in Videos toolkit for VisDrone2018

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