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scan2cad

[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

scanobjectnn

Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019

scanrefer

ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language

scattering-compositional-learner

Implementation of Scattering Compositional Learner in Pytorch

scda_keras

A keras and tensorflow implementation of the "Selective Convolutional Descriptor Aggregation" algorithm

scene-graph-benchmark.pytorch

A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 paper "Unbiased Scene Graph Generation from Biased Training"

scene-graph-tf-release

"Scene Graph Generation by Iterative Message Passing" code repository

scene-graphs-vqa

Leveraging scene graphs for visual question answering

scene-labeling

Experiments with an rCNN for scene labeling.

sceneednet

[ICARCV 2018] Implementation of Convolutional Neural Network for Scene Flow Estimation

scenegraph

Scene Graphs with Permutation-Invariant Structured Prediction

scenegraphparser

A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).

scenenetv1.0

Still a work in progress and adding code..

schema-games

General Game Playing with Schema Networks

science_cognitive_programs

Implementation of concept induction for Science Robotics paper

science_cognitive_programs-1

Implementation of concept induction for Science Robotics paper

science_rcn

Reference implementation of a two-level RCN model

scikit-multilearn

A scikit-learn based module for multi-label et. al. classification

scitsr

Table structure recognition dataset of the paper: Complicated Table Structure Recognition

scn_for_video_captioning

Using Semantic Compositional Networks for Video Captioning

scops

SCOPS: Self-Supervised Co-Part Segmentation (CVPR'19)

sd-maskrcnn

Code for SD Mask R-CNN Project

sdsandbox

This provides a sandbox simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow for training. Recently updated to work on Python 3.4+ and Keras 2+

se3-transformer-public

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

seeing-motion-in-the-dark

seetafaceengine

seg-with-spn

Demo code of the paper: "Learning to Segment Instances in Videos with Spatial Propagation Network", in CVPR'17 Workshop on DAVIS Challenge

segaware

Segmentation-Aware Convolutional Networks Using Local Attention Masks

segnet-tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

segsort

SegSort: Segmentation by Discriminative Sorting of Segments