scene-segmentation

Thermal Image Segmentation

3260 papers • 126 benchmarks • 313 datasets

This task has no description! Would you like to contribute one?

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in scene-segmentation

Trend

Dataset

Best Model

Actions

MFN Dataset

RGB-T-Glass-Segmentation

PST900

Libraries

i

Use these libraries to find scene-segmentation models and implementations

PaddlePaddle/PaddleSeg

14 papers 8,417

Datasets

MFNet

PST900

Charlotte-ThermalFace

Subtasks

No subtasks available.

Most implemented papers

U-Net: Convolutional Networks for Biomedical Image Segmentation

O. Ronneberger, T. Brox, P. Fischer•Sun May 17 2015

It is shown that such a network can be trained end-to-end from very few images and outperforms the prior best method (a sliding-window convolutional network) on the ISBI challenge for segmentation of neuronal structures in electron microscopic stacks.

90626

Content

PST900

Noisy RS RGB-T Dataset

KP day-night

SODA Dataset

SCUT-Seg Dataset

osmr/imgclsmob

10 papers 2,950

open-mmlab/mmsegmentation

8 papers 7,961

zh320/realtime-semantic-segmentatio…

6 papers 96

JanMarcelKezmann/TensorFlow-Advance…

4 papers 151

huggingface/transformers

3 papers 131,948

open-mmlab/mmdetection

3 papers 29,059

qubvel/segmentation_models

3 papers 4,706

divamgupta/image-segmentation-keras

3 papers 2,895

y-ouali/pytorch_segmentation

3 papers 1,642

Media-Smart/vedaseg

3 papers 410

pytorch/vision

2 papers 15,981

PaddlePaddle/PaddleDetection

2 papers 12,591

open-mmlab/mmpose

2 papers 5,578

CSAILVision/semantic-segmentation-p…

2 papers 4,913

PRBonn/bonnet

2 papers 323

frgfm/Holocron

2 papers 313

DarshanDeshpande/jax-models

2 papers 150

DLWK/EANet

2 papers 50

samson6460/tf2_Segmentation

2 papers 15

dajes/DensePose-TorchScript

2 papers 13

0

Paper Graph

Rethinking Atrous Convolution for Semantic Image Segmentation

Liang-Chieh Chen, Florian Schroff, Hartwig Adam, G. Papandreou•Fri Jun 16 2017

The proposed `DeepLabv3' system significantly improves over the previous DeepLab versions without DenseCRF post-processing and attains comparable performance with other state-of-art models on the PASCAL VOC 2012 semantic image segmentation benchmark.

9527 0

Paper Graph

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

Alex Kendall, Vijay Badrinarayanan, R. Cipolla•Sun Nov 01 2015

Quantitative assessments show that SegNet provides good performance with competitive inference time and most efficient inference memory-wise as compared to other architectures, including FCN and DeconvNet.

17098 0

Paper Graph

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Han Hu, Yue Cao, Zheng Zhang, Stephen Lin, B. Guo, Yixuan Wei, Ze Liu, Yutong Lin•Thu Dec 31 2020

A hierarchical Transformer whose representation is computed with Shifted windows, which has the flexibility to model at various scales and has linear computational complexity with respect to image size and will prove beneficial for all-MLP architectures.

29197 0

Paper Graph

Pyramid Scene Parsing Network

Xiaogang Wang, Jiaya Jia, Jianping Shi, Xiaojuan Qi, Hengshuang Zhao•Sat Dec 03 2016

This paper exploits the capability of global context information by different-region-based context aggregation through the pyramid pooling module together with the proposed pyramid scene parsing network (PSPNet) to produce good quality results on the scene parsing task.

13635 0

Paper Graph

Fully convolutional networks for semantic segmentation

Evan Shelhamer, Trevor Darrell, Jonathan Long•Thu Nov 13 2014

The key insight is to build “fully convolutional” networks that take input of arbitrary size and produce correspondingly-sized output with efficient inference and learning.

40974 0

Paper Graph

Deep High-Resolution Representation Learning for Visual Recognition

Ke Sun, Bin Xiao, Jingdong Wang, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu•Mon Aug 19 2019

The superiority of the proposed HRNet in a wide range of applications, including human pose estimation, semantic segmentation, and object detection, is shown, suggesting that the HRNet is a stronger backbone for computer vision problems.

4216 0

Paper Graph

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Zongwei Zhou, M. R. Siddiquee, Nima Tajbakhsh, Jianming Liang•Tue Jul 17 2018

This paper presents UNet++, a new, more powerful architecture for medical image segmentation where the encoder and decoder sub-networks are connected through a series of nested, dense skip pathways, and argues that the optimizer would deal with an easier learning task when the feature maps from the decoder and encoder networks are semantically similar.

7964 0

Paper Graph

Fast-SCNN: Fast Semantic Segmentation Network

R. Cipolla, Rudra P. K. Poudel, Stephan Liwicki•Mon Feb 11 2019

This paper introduces fast segmentation convolutional neural network (Fast-SCNN), an above real-time semantic segmentation model on high resolution image data suited to efficient computation on embedded devices with low memory.

628 0

Paper Graph

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Anima Anandkumar, Ping Luo, Wenhai Wang, Enze Xie, J. Álvarez, Zhiding Yu•Sun May 30 2021

SegFormer is presented, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders and shows excellent zero-shot robustness on Cityscapes-C.

7257 0

Paper Graph

Adding a benchmark result helps the community track progress.