Scene Segmentation

41 papers with code · Computer Vision

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

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

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

2 Nov 2015divamgupta/image-segmentation-keras

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

Dual Attention Network for Scene Segmentation

CVPR 2019 junfu1115/DANet

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

LambdaNetworks: Modeling long-range Interactions without Attention

ICLR 2021 lucidrains/lambda-networks

We present a general framework for capturing long-range interactions between an input and structured contextual information (e. g. a pixel surrounded by other pixels).

IMAGE CLASSIFICATION INSTANCE SEGMENTATION OBJECT DETECTION SCENE SEGMENTATION

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.

 Ranked #1 on 3D Instance Segmentation on S3DIS (mAcc metric)

3D OBJECT DETECTION SCENE 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

Seamless Scene Segmentation

CVPR 2019 mapillary/seamseg

In this work we introduce a novel, CNN-based architecture that can be trained end-to-end to deliver seamless scene segmentation results.

PANOPTIC SEGMENTATION SCENE SEGMENTATION