Pchank

CCPNet

3D Semantic Scene Completion

HRSOD

HRSOD

Ranking-Video-Salient-Object-Detection

caffe-crfgd

Caffe implementation of work done on learning arbitrary CRFs for semantic segmenation

CODA

Implementation for CODA

COVID-CT

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

D3NetBenchmark

Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks, submit to IEEE TNNLS 2019

DMLS-for-SSP

Deep Multiphase Level Set for Semantic Scene Parsing

DMM_Net

Differentiable Mask-Matching Network for Video Object Segmentation (ICCV 2019)

DMRA

Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".

DNLS-for-SSL

Semantic Scene Labeling via Deep Nested Level Set

EGNet

EGNet:Edge Guidance Network for Salient Object Detection (ICCV 2019)

few-shot-segmentation

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

forknet

[ICCV'19] Adversarial Semantic Scene Completion from a Single Depth Image

Higher-HRNet-Human-Pose-Estimation

Higher-Resolution Networks (HigherHRNets) for Human Pose Estimation

Kimera-Semantics

Real-Time 3D Semantic Reconstruction from 2D data

LayoutNetv2

PyTorch implementation for LayoutNet v2 in the paper: "3D Manhattan Room Layout Reconstruction from a Single 360 Image"

Lstn_fdst_dataset

We collected 100 videos captured from 13 different scenes, and FDST dataset contains 150,000 frames, with a total of 394,081 annotated heads.

Multi-Scale-Attention

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

P3O3_metrics

Code for metrics used in the I. Kotseruba et al. "Do Saliency Models Detect Odd-One-Out Targets?" paper

pst900_thermal_rgb

Repository for "PST900 RGB-Thermal Calibration, Dataset and Segmentation Network" | C++, Python, PyTorch

RGBD-SOD-datasets

All those partitioned RGB-D Saliency Datasets we collected are shared in ready-to-use manner.

RTFNet

RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes

SANet

SegLoss

A collection of loss functions for medical image segmentation

SegSort

SegSort: Segmentation by Discriminative Sorting of Segments

spatio-temporal-embedding

Code accompanying the ICLR 2020 submission: Learning a Spatio-Temporal Embedding for Video Instance Segmentation.

SSENet-pytorch

The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.

StereoNet-ActiveStereoNet

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018; ActiveStereoNet:End-to-End Self-Supervised Learning for Active Stereo Systems ECCV2018 Oral

TFCNTracker

https://pan.baidu.com/s/1E8vviLlLIQ9yDCcdvPYXyQ