This is your work, valued
Python and PyTorch lover. Working on lightweight edge detection
DexiNed. DexiNed: Dense EXtreme Inception Network for Edge Detection
860TEED. TEED: Tiny and Efficient Edge Detector
265LDC. LDC: Lightweight Dense CNN for Edge Detection
166MBIPED. Barcelona Images for Perceptual Edge Detection (BIPED) Dataset---descriptions
29UDED. UDED: Edge detection dataset
22color_restorer. TF2 Keras Implementation of Wide-Band Color Imagery Restoration for RGB-NIR Single Sensor Images
19BRIND. (Under construction) The BSDS dataset for edge detection annotated by @MengyangPu
9multispectral_demosaicing. A implementation of http://www.ok.sc.e.titech.ac.jp/res/MSI/RGB-NIR/ei2016.pdf
6ssmid-dataset. Single Sensor Multispectral Images Dataset (SSMID)
6fusing. This coding is my first experience in Github, this time I attempt use python to generate different kind of fusion algorithms in the multispectral image domain
4Tensorflow-HED-RCF. HED and RCF implementation for edge detection on Tensorflow
4pix2pix_tf_keras. Pix2pix model for decolorization RGB2NIR
3rawImage_extractor. Matlab code for extracting image data from .RAW or .h5 files
3EGBI_segmentation. A ipython implementation of Efficient Graph-Based Image Segmentation.
2LapSRN. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
2pytorch-CycleGAN-and-pix2pix. Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)
2hed-pytorch. A PyTorch reimplementation of Holistically-Nested Edge Detection
2holy-edge. Holistically-Nested Edge Detection
2pidinet_xsp. Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).
2ml-mobileone_xsp. This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".
2RCF-pytorch. Richer Convolutional Features for Edge Detection model in pytorch
2Deeplearning1. Code from Kadenze deepLearning course, used for academic purpose only
1dataset2. Data augmentation methods
1easy-school. A Django based School Management Web Application
1automl. Google Brain AutoML
1LapSRN-tensorflow. Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"
1EDSR-PyTorch. PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
1Single-Image-Super-Resolution. A collection of high-impact and state-of-the-art SR methods
1DRRN_CVPR17. Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"
1SRCNN-Tensorflow. Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
1CVPR18-SFTGAN. Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform (CVPR 2018) http://mmlab.ie.cuhk.edu.hk/projects/SFTGAN/
1DBPN-Pytorch. Deep Back-Projection Networks for Super-Resolution
1TF_Deformable_Net. Deformable convolution net on Tensorflow
1google-efficientnet. Replica of code from here: https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet
1tpu. Reference models and tools for Cloud TPUs.
1efficientnet. Implementation of EfficientNet model. Keras and TensorFlow Keras.
1SRNTT. Image Super-Resolution by Neural Texture Transfer
1SegNet. A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
1pixel-recursive-super-resolution. Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
1EDTER_xsp. EDTER: Edge Detection with Transformer, in CVPR 2022
1tensorflow. Computation using data flow graphs for scalable machine learning
1ijepa. Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."
1UAED_xsp. A slightly modification from UAED
1ELAN. [ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution
1STEAL. STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
1BDCN_xsp. The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection
1Awesome-Edge-Detection-Papers. :books: A collection of edge/contour/boundary detection papers and toolbox.
1TIN_xsp. TRADITIONAL METHOD INSPIRED DEEP NEURAL NETWORK FOR EDGE DETECTION
1dsrn. Implementation for our CVPR 2018 paper
1EDSR-Tensorflow. Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
1Tensorflow-DeconvNet-Segmentation. Tensorflow implementation of "Learning Deconvolution Network for Semantic Segmentation"
1EDSR. tensorflow replicate of Enhanced Deep Residual Networks for Single Image Super-Resolution
1White-box-Cartoonization. Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”
1FU-net. FU-net: Multi-class Image Segmentation using Feedback Weighted U-net
1sg2im. Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018
1deep_gcns. Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org
1squeezenext-tensorflow. A tensorflow implementation of squeezenext. (includes link to trained model)
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