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2016_person_re-id

A Discriminatively Learned CNN Embedding for Person Re-identification

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3d_pose_estimation_cvpr2016

3dcae-hyperspectral-classification

Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

3dunet_abdomen_cascade

a-variation-of-dice-coefficient-loss-caffe-layer

Compute the variation of dice coefficient loss for real-value regression task.

aaai17

aaai18

aaai2018_cl

Partial Multi-view Outlier Detection Based on Collective Learning

acai

Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"

acmr_demo

action_recognition

Action Recognition & Categories via Spatial-Temporal Features

adamw-and-sgdw

Fixing Weight Decay Regularization in Adam

adapmmsc

adaptive_affinity_fields

Adaptive Affinity Fields for Semantic Segmentation

adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

additive_fnnrw

Code for the additive model via feedforward neural networks with random weights.

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarialnetspapers

The classical paper list with code about generative adversarial nets

advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

agc-master

algorithms

Minimal examples of data structures and algorithms in Python

alignedreid-re-production-pytorch

Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

arctic-captions

arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

autoencoding_beyond_pixels

Generative image model with learned similarity measures

autofocus-layer

Autofocus Layer for Semantic Segmentation

autolvseg

Automatic LV Segmentation using smoothing and k-means clustering

awesome-computer-vision

A curated list of awesome computer vision resources