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seg_every_thing

Code release for Hu et al., Learning to Segment Every Thing. in CVPR, 2018.

self-ensemble-visual-domain-adapt

Code repository for the small image experiments our paper 'Self-ensembling for Domain Adaptation'

semantic-segmentation-editor

Web labeling tool for camera and LIDAR data

semi-supervised-transfer-learning

[CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

semseg

Semantic Segmentation in Pytorch

senet.pytorch

PyTorch implementation of SENet

seqmix

The repository for our EMNLP'20 paper SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup.

set_transformer

Pytorch implementation of set transformer

sgm

Sequence Generation Model for Multi-label Classification (COLING 2018)

shape-attentive-unet

Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf

shape-measure

PyTorch version of shape evaluation metrics

siamese_net

This package shows how to train a siamese network using Lasagne and Theano and includes network definitions for state-of-the-art networks including: DeepID, DeepID2, Chopra et. al, and Hani et. al. We also include one pre-trained model using a custom convolutional network.

simclr

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

smile

SMiLE algorithm for multilabel classification for missing labels

smooth-topk

Smooth Loss Functions for Deep Top-k Classification

snapshot-ensembles

Snapshot Ensemble in Keras

snapshotensemble

Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)

soft-sharing

Implementation of soft parameter sharing for neural networks

softened-similarity-learning

Unofficial Pytorch implementation of Unsupervised Person Re-identification via Softened Similarity Learning

softtriple

PyTorch Implementation for SoftTriple Loss

som

Pytorch implementation of a Self-Organizing Map

spade

Semantic Image Synthesis with SPADE

sparenet

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

sparsemax

spatial-re-scaling

spatial-regularization-network-in-tensorflow

implementation of “Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification” in Tensorflow

spatial-transformer-for-3d-point-clouds

spatial transformer for 3d point clouds

spcl

[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

spl-advise

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"