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sigraphvae

simgnn

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

simmim

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

simvp-simpler-yet-better-video-prediction

sinet

Camouflaged Object Detection, CVPR 2020 (Oral)

sinet-v2

Concealed Object Detection (SINet-V2, IEEE TPAMI 2021). Code using Jittor Framework is available.

slides

Slides

slideslive-slides-dl

slideslive slides downloading script

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

slscq

申论生成器(

slt-net

A video concealed object detection (COD) framework that can capture both short-term dynamics and long-term temporal consistency.

slt_net_mindxsdk_torch

smaat-unet

PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"

social-nce-crowdnav

Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch.

social-stgcnn

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

social_lstm

socialways

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

soctoolbox

Efficient Toolbox to quickly evaluate SOC/SOD/COD benchmark.

sod-cnns-based-code-summary-

The summary of code and paper for salient object detection with deep learning

sodsurvey

Salient Object Detection in the Deep Learning Era: An In-Depth Survey

soft-dtw

Python implementation of soft-DTW.

sparsett

The official implementation for paper "SparseTT: Visual Tracking with Sparse Transformers"

spatial-transformer-network

A Tensorflow implementation of Spatial Transformer Networks.

spatio-temporal-papers

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

spectral-clustering-with-graph-neural-networks-for-graph-pooling

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

spectralcluster

Python re-implementation of the (constrained) spectral clustering algorithms in "Speaker Diarization with LSTM" and "Turn-to-Diarize" papers.

ssim_seq2seq

SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data

ssp

sst

Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”

sst-emotionnet

SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition