Browse SoTA > Computer Vision > Saliency Detection

Saliency Detection

48 papers with code · Computer Vision

Saliency Detection is a preprocessing step in computer vision which aims at finding salient objects in an image.

Source: An Unsupervised Game-Theoretic Approach to Saliency Detection

Benchmarks

Greatest papers with code

TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection

ICCV 2019 MichiganCOG/TASED-Net

It consists of two building blocks: first, the encoder network extracts low-resolution spatiotemporal features from an input clip of several consecutive frames, and then the following prediction network decodes the encoded features spatially while aggregating all the temporal information.

VIDEO SALIENCY DETECTION

Towards High-Resolution Salient Object Detection

ICCV 2019 yi94code/HRSOD

This paper pushes forward high-resolution saliency detection, and contributes a new dataset, named High-Resolution Salient Object Detection (HRSOD).

RGB SALIENT OBJECT DETECTION SALIENCY DETECTION

Multi-source weak supervision for saliency detection

CVPR 2019 zengxianyu/mws

To this end, we propose a unified framework to train saliency detection models with diverse weak supervision sources.

SALIENCY PREDICTION

Deep Saliency with Encoded Low level Distance Map and High Level Features

CVPR 2016 gylee1103/SaliencyELD

Recent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene.

SALIENCY DETECTION

Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection

CVPR 2020 moothes/ITSD-pytorch

Specifically, our decoder consists of two branches, a saliency branch and a contour branch.

SALIENCY DETECTION

Learning to Promote Saliency Detectors

CVPR 2018 zengxianyu/lps

The categories and appearance of salient objects vary from image to image, therefore, saliency detection is an image-specific task.

SALIENCY DETECTION SMALL DATA IMAGE CLASSIFICATION ZERO-SHOT LEARNING

Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

CVPR 2020 nnizhang/S2MA

Considering the reliability of the other modality's attention, we further propose a selection attention to weight the newly added attention term.

RGB-D SALIENT OBJECT DETECTION SALIENCY DETECTION

Time-Series Anomaly Detection Service at Microsoft

10 Jun 2019yoshinaga0106/spectral-residual

At Microsoft, we develop a time-series anomaly detection service which helps customers to monitor the time-series continuously and alert for potential incidents on time.

ANOMALY DETECTION SALIENCY DETECTION TIME SERIES

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection

29 Jun 2018gistairc/HS-SOD

Many works have been done on salient object detection using supervised or unsupervised approaches on colour images.

RGB SALIENT OBJECT DETECTION SALIENCY DETECTION