Segmentation

3972 papers with code • 0 benchmarks • 5 datasets

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Libraries

Use these libraries to find Segmentation models and implementations
37 papers
8,062
17 papers
2,896
16 papers
27,108
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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.

Mask R-CNN

tensorflow/models ICCV 2017

Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.

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.

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.

Searching for MobileNetV3

tensorflow/models ICCV 2019

We achieve new state of the art results for mobile classification, detection and segmentation.

Fully Convolutional Networks for Semantic Segmentation

pochih/fcn-pytorch CVPR 2015

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

YOLACT: Real-time Instance Segmentation

dbolya/yolact ICCV 2019

Then we produce instance masks by linearly combining the prototypes with the mask coefficients.

Fully Convolutional Networks for Semantic Segmentation

pytorch/vision CVPR 2015

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

YOLACT++: Better Real-time Instance Segmentation

dbolya/yolact 3 Dec 2019

Then we produce instance masks by linearly combining the prototypes with the mask coefficients.

Microsoft COCO: Common Objects in Context

PaddlePaddle/PaddleDetection 1 May 2014

We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding.