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Greatest papers with code

Boundary-Seeking Generative Adversarial Networks

27 Feb 2017eriklindernoren/PyTorch-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

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

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

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

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

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

2 Nov 2015osmr/imgclsmob

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

CROWD COUNTING LESION SEGMENTATION REAL-TIME SEMANTIC SEGMENTATION SCENE SEGMENTATION SCENE UNDERSTANDING

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

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

8 Jul 2019open-mmlab/OpenPCDet

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