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isprs-classification-with-an-edge

jitnet-online-distillation

jsrt-parser

This is a data parser to obtain images and descriptions from JSRT database in a uniform format for deep learning applications.

kepler

Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning - Transactions on Image Processing (2015)

keras-global-context-networks

Keras implementation of Global Context Attention blocks

kernel-metric-learning-reid

Implementation for paper "Person re-identification using kernel-based metric learning methods"

kimera-semantics

Real-Time 3D Semantic Reconstruction from 2D data

kits19

The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

layer-recurrent-neural-networks-lrnn-tf

Layer Recurrent Neural Network-LRNN-tensorflow-tf

layoutnetv2

PyTorch implementation for LayoutNet v2 in the paper: "3D Manhattan Room Layout Reconstruction from a Single 360 Image"

levelset-without-reinitliation

Level set evolution without re-initialization(CVPR 2005)的实现

lovaszsoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

lstn_fdst_dataset

We collected 100 videos captured from 13 different scenes, and FDST dataset contains 150,000 frames, with a total of 394,081 annotated heads.

matconvnet-calvin

Code for several state-of-the-art papers in object detection and semantic segmentation.

matconvnet-fcn

A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation

mdnet

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

megan

Implementation of MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation

mlca

Metric Learning for Cluster Analysis (MLCA) - CVPR 2016

mlnet

mlr

Metric Learning to Rank

mobilenet-caffe

Caffe Implementation of Google's MobileNets

modanet

ModaNet: A large-scale street fashion dataset with polygon annotations

msrnet

multi-scale-attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

ocnet

OCNet achieves the state-of-the-art scene parsing performance on both Cityscapes and ADE20K.

ordinal-segmentation

Ordinal Segmentation using Deep Neural Networks

p3o3_metrics

Code for metrics used in the I. Kotseruba et al. "Do Saliency Models Detect Odd-One-Out Targets?" paper

panopticsegmentation

PKU_360 Team's fuse code! This code is used to fuse the semantic segmentation result and instance segmentation result. We won the third place in COCO2018 panoptic segmentation.

paper_reading_list

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)