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self-correction-human-parsing

An out-of-box human parsing representation extractor.

self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning

self-driving-car

self-driving-car-sim

A self-driving car simulator built with Unity

self-driving-toy-car

A self driving toy car using end-to-end learning

self-imitation-learning

self-normalizing-networks

Chainer implementation of Self-Normalizing Networks (SNN)

self-tuning-networks

Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088

self_attention_grid

Self Attention Grid for Person Re-Id

selfsupervised-denoising

High-Quality Self-Supervised Deep Image Denoising - Official TensorFlow implementation of the NeurIPS 2019 paper

semantic-cosegmentation

The codes for the ECCV16 paper: "Semantic Co-segmentation in Videos", Y.-H. Tsai*, G.Zhong* and M.-H. Yang.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

semantic_image_inpainting

Semantic Image Inpainting

semantic_segmentation_for_autonomous_driving

Various networks that could be the basis of a vision system for self-driving cars

semanticfastforward_eccvw_2016

Towards Semantic Fast-Forward and Stabilized Egocentric Videos @ 2016 First International Workshop on Egocentric Perception, Interaction and Computing at European Conference on Computer Vision Workshops (EPIC@ECCVW)

semanticfastforward_icip_2016

Fast-Forward Video Based on Semantic Extraction @ 2016 IEEE International Conference on Image Processing (ICIP)

semanticfastforward_jvci_2018

Making a long story short: A multi-importance fast-forwarding egocentric videos with the emphasis on relevant objects @ Journal of Visual Communication and Image Representation 53 (2018)

semi-hand-object

semi-supervised_robust_training

This is the code for semi-supervised robust training (SRT).

semimnist

semiparametric

Semi-parametric Object Synthesis. A semi-parametric approach for synthesizing novel views of an object from a single monocular image.

senet

Squeeze-and-Excitation Networks

senet.pytorch

PyTorch implementation of SENet

sensational_headline

this is the repo for sensational headline generation of our published paper in EMNLP 2019

sense2vec

Use spaCy to go beyond vanilla word2vec

sensegram

Making sense embedding out of word embeddings

sent-conv-torch

Text classification using a convolutional neural network.

sentence-space

Generating gradients, exploring neighborhoods.

sentencepiece

senteval

A python tool for evaluating the quality of sentence embeddings.