About

Scene segmentation is the task of splitting a scene into its various object components.

Image adapted from Temporally coherent 4D reconstruction of complex dynamic scenes.

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Datasets

Greatest papers with code

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation

ECCV 2020 tensorflow/models

We view this work as a notable step towards building a simple procedure to harness unlabeled video sequences and extra images to surpass state-of-the-art performance on core computer vision tasks.

OPTICAL FLOW ESTIMATION PANOPTIC SEGMENTATION PATCH MATCHING SCENE SEGMENTATION

Dual Attention Network for Scene Segmentation

CVPR 2019 osmr/imgclsmob

Specifically, we append two types of attention modules on top of traditional dilated FCN, which model the semantic interdependencies in spatial and channel dimensions respectively.

SCENE SEGMENTATION

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

2 Nov 2015osmr/imgclsmob

We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.

CROWD COUNTING LESION SEGMENTATION REAL-TIME SEMANTIC SEGMENTATION SCENE SEGMENTATION SCENE UNDERSTANDING

Point-Voxel CNN for Efficient 3D Deep Learning

NeurIPS 2019 mit-han-lab/pvcnn

The computation cost and memory footprints of the voxel-based models grow cubically with the input resolution, making it memory-prohibitive to scale up the resolution.

3D OBJECT DETECTION SCENE SEGMENTATION

Simplifying Object Segmentation with PixelLib Library

20 Jan 2021ayoolaolafenwa/PixelLib

PixelLib [1] is a library created to allow easy implementation of object segmentation in real life applications.

IMAGE CLASSIFICATION SCENE SEGMENTATION VIDEO SEGMENTATION

Index Network

11 Aug 2019poppinace/indexnet_matting

By viewing the indices as a function of the feature map, we introduce the concept of "learning to index", and present a novel index-guided encoder-decoder framework where indices are self-learned adaptively from data and are used to guide the downsampling and upsampling stages, without extra training supervision.

GRAYSCALE IMAGE DENOISING IMAGE DENOISING IMAGE MATTING MONOCULAR DEPTH ESTIMATION SCENE SEGMENTATION