Browse > Computer Vision > Scene Parsing > Scene Understanding

Scene Understanding

64 papers with code · Computer Vision
Subtask of Scene Parsing

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Greatest papers with code

Boundary-Seeking Generative Adversarial Networks

27 Feb 2017eriklindernoren/Keras-GAN

We introduce a method for training GANs with discrete data that uses the estimated difference measure from the discriminator to compute importance weights for generated samples, thus providing a policy gradient for training the generator.

SCENE UNDERSTANDING TEXT GENERATION

Unified Perceptual Parsing for Scene Understanding

ECCV 2018 CSAILVision/semantic-segmentation-pytorch

In this paper, we study a new task called Unified Perceptual Parsing, which requires the machine vision systems to recognize as many visual concepts as possible from a given image.

SCENE UNDERSTANDING SEMANTIC SEGMENTATION

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

14 Jun 2017qubvel/segmentation_models

As a result they are huge in terms of parameters and number of operations; hence slow too.

SCENE UNDERSTANDING SEMANTIC SEGMENTATION

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

13 Feb 2018facebookresearch/TensorComprehensions

Deep learning models with convolutional and recurrent networks are now ubiquitous and analyze massive amounts of audio, image, video, text and graph data, with applications in automatic translation, speech-to-text, scene understanding, ranking user preferences, ad placement, etc.

SCENE UNDERSTANDING

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

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

9 Nov 2015alexgkendall/caffe-segnet

Semantic segmentation is an important tool for visual scene understanding and a meaningful measure of uncertainty is essential for decision making.

DECISION MAKING SCENE UNDERSTANDING SEMANTIC SEGMENTATION

Dilated Residual Networks

CVPR 2017 osmr/imgclsmob

Convolutional networks for image classification progressively reduce resolution until the image is represented by tiny feature maps in which the spatial structure of the scene is no longer discernible.

IMAGE CLASSIFICATION OBJECT LOCALIZATION SCENE UNDERSTANDING SEMANTIC SEGMENTATION

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

17 Dec 2017cardwing/Codes-for-Lane-Detection

Although CNN has shown strong capability to extract semantics from raw pixels, its capacity to capture spatial relationships of pixels across rows and columns of an image is not fully explored.

LANE DETECTION SCENE UNDERSTANDING