Thermal Image Segmentation

54 papers with code • 7 benchmarks • 4 datasets

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Use these libraries to find Thermal Image Segmentation models and implementations

Most implemented papers

U-Net: Convolutional Networks for Biomedical Image Segmentation

labmlai/annotated_deep_learning_paper_implementations 18 May 2015

There is large consent that successful training of deep networks requires many thousand annotated training samples.

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

PaddlePaddle/PaddleSeg 2 Nov 2015

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

microsoft/Swin-Transformer ICCV 2021

This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision.

Rethinking Atrous Convolution for Semantic Image Segmentation

tensorflow/models 17 Jun 2017

To handle the problem of segmenting objects at multiple scales, we design modules which employ atrous convolution in cascade or in parallel to capture multi-scale context by adopting multiple atrous rates.

Pyramid Scene Parsing Network

hszhao/PSPNet CVPR 2017

Scene parsing is challenging for unrestricted open vocabulary and diverse scenes.

Fully Convolutional Networks for Semantic Segmentation

pochih/fcn-pytorch CVPR 2015

Convolutional networks are powerful visual models that yield hierarchies of features.

Deep High-Resolution Representation Learning for Visual Recognition

open-mmlab/mmdetection 20 Aug 2019

High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection.

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

MrGiovanni/Nested-UNet 18 Jul 2018

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Fast-SCNN: Fast Semantic Segmentation Network

PaddlePaddle/PaddleSeg 12 Feb 2019

The encoder-decoder framework is state-of-the-art for offline semantic image segmentation.

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

PaddlePaddle/PaddleSeg ECCV 2018

Semantic segmentation requires both rich spatial information and sizeable receptive field.