Scene Understanding

189 papers with code • 4 benchmarks • 34 datasets

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Greatest papers with code

Boundary-Seeking Generative Adversarial Networks

eriklindernoren/PyTorch-GAN 27 Feb 2017

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

CSAILVision/semantic-segmentation-pytorch ECCV 2018

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

qubvel/segmentation_models 14 Jun 2017

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

Scene Understanding Semantic Segmentation

COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

xiaofengShi/CHINESE-OCR 26 Jan 2016

The goal of COCO-Text is to advance state-of-the-art in text detection and recognition in natural images.

General Classification Object Recognition +4

ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation

osmr/imgclsmob Transactions on Intelligent Transportation Systems (T-ITS) 2017

A comprehensive set of experiments on the publicly available Cityscapes dataset demonstrates that our system achieves an accuracy that is similar to the state of the art, while being orders of magnitude faster to compute than other architectures that achieve top precision.

Real-Time Semantic Segmentation Scene Understanding

Dilated Residual Networks

osmr/imgclsmob CVPR 2017

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.

Classification General Classification +4

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

osmr/imgclsmob 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.

Crowd Counting General Classification +4

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

sshaoshuai/PointCloudDet3D 8 Jul 2019

3D object detection from LiDAR point cloud is a challenging problem in 3D scene understanding and has many practical applications.

3D Object Detection Scene Understanding

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

facebookresearch/TensorComprehensions 13 Feb 2018

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