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Real-Time Semantic Segmentation

36 papers with code · Computer Vision

Real-time semantic segmentation is the task of achieving computationally efficient semantic segmentation (while maintaining a base level of accuracy).

( Image credit: TorchSeg )

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Fully Convolutional Networks for Semantic Segmentation

CVPR 2015 pytorch/vision

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

REAL-TIME SEMANTIC SEGMENTATION 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.

LESION SEGMENTATION REAL-TIME SEMANTIC SEGMENTATION SCENE SEGMENTATION SCENE UNDERSTANDING

HarDNet: A Low Memory Traffic Network

ICCV 2019 osmr/imgclsmob

We propose a Harmonic Densely Connected Network to achieve high efficiency in terms of both low MACs and memory traffic.

REAL-TIME OBJECT DETECTION REAL-TIME SEMANTIC SEGMENTATION

Conditional Random Fields as Recurrent Neural Networks

ICCV 2015 torrvision/crfasrnn

Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding.

REAL-TIME SEMANTIC SEGMENTATION

The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks

CVPR 2018 bermanmaxim/LovaszSoftmax

The Jaccard index, also referred to as the intersection-over-union score, is commonly employed in the evaluation of image segmentation results given its perceptual qualities, scale invariance - which lends appropriate relevance to small objects, and appropriate counting of false negatives, in comparison to per-pixel losses.

REAL-TIME SEMANTIC SEGMENTATION