Browse > Computer Vision > Scene Parsing

Scene Parsing

21 papers with code ยท Computer Vision

Leaderboards

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Latest papers without code

Semantic Flow for Fast and Accurate Scene Parsing

24 Feb 2020

A common practice to improve the performance is to attain high resolution feature maps with strong semantic representation.

OPTICAL FLOW ESTIMATION SCENE PARSING

Real-Time Panoptic Segmentation from Dense Detections

3 Dec 2019

Panoptic segmentation is a complex full scene parsing task requiring simultaneous instance and semantic segmentation at high resolution.

OBJECT DETECTION PANOPTIC SEGMENTATION SCENE PARSING

Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms

19 Nov 2019

In this paper, we differentiate features for scene segmentation based on dedicated attention mechanisms (DF-DAM), and two attention modules are proposed to optimize the high-level and low-level features in the encoder, respectively.

SCENE PARSING SCENE SEGMENTATION

Adaptive Context Network for Scene Parsing

ICCV 2019

Recent works attempt to improve scene parsing performance by exploring different levels of contexts, and typically train a well-designed convolutional network to exploit useful contexts across all pixels equally.

SCENE PARSING

SR-Net: Cooperative Image Segmentation and Restoration in Adverse Environmental Conditions

2 Nov 2019

However, the performance will largely depend on the quality of restoration or enhancement.

IMAGE RESTORATION SCENE PARSING SEMANTIC SEGMENTATION

Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net

27 Oct 2019

The ship-detection task in satellite imagery presents significant obstacles to even the most state of the art segmentation models due to lack of labelled dataset or approaches which are not able to generalize to unseen images.

SCENE PARSING SEMANTIC SEGMENTATION

Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes

24 Oct 2019

Here, we propose and evaluate a novel fully-automatic semantic segmentation method for pixel-level classification of food on a plate using a deep convolutional neural network (DCNN).

SCENE PARSING SEMANTIC SEGMENTATION

Deep Multiphase Level Set for Scene Parsing

8 Oct 2019

The proposed method consists of three modules, i. e., recurrent FCNs, adaptive multiphase level set, and deeply supervised learning.

SCENE PARSING SEMANTIC SEGMENTATION

Dynamic Multi-Scale Filters for Semantic Segmentation

ICCV 2019

DMNet is composed of multiple Dynamic Convolutional Modules (DCMs) arranged in parallel, each of which exploits context-aware filters to estimate semantic representation for a specific scale.

SCENE PARSING SEMANTIC SEGMENTATION

SPGNet: Semantic Prediction Guidance for Scene Parsing

ICCV 2019

The multi-scale context module refers to the operations to aggregate feature responses from a large spatial extent, while the single-stage encoder-decoder structure encodes the high-level semantic information in the encoder path and recovers the boundary information in the decoder path.

POSE ESTIMATION SCENE PARSING SEMANTIC SEGMENTATION