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Saliency Detection

52 papers with code ยท 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

Latest papers without code

Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection

12 Oct 2020

Early fusion and the result fusion schemes fuse RGB and depth information at the input and output stages, respectively, hence incur the problem of distribution gap or information loss.

RGB-D SALIENT OBJECT DETECTION SALIENCY DETECTION

Light Field Salient Object Detection: A Review and Benchmark

10 Oct 2020

Secondly, we benchmark seven representative light field SOD models together with several cutting-edge RGB-D SOD models on four widely used light field datasets, from which insightful discussions and analyses including the comparison between light field SOD and RGB-D SOD models are achieved.

OBJECT DETECTION SALIENCY DETECTION

Video Saliency Detection with Domain Adaptation using Hierarchical Gradient Reversal Layers

2 Oct 2020

In this work, we propose a 3D fully convolutional architecture for video saliency detection that employs multi-head supervision on intermediate maps (referred to as conspicuity maps) generated using features extracted at different abstraction level.

DOMAIN ADAPTATION SALIENCY PREDICTION VIDEO SALIENCY DETECTION

Weakly-supervised Salient Instance Detection

29 Sep 2020

Inspired by this insight, we propose to use class and subitizing labels as weak supervision for the SID problem.

BOUNDARY DETECTION OBJECT LOCALIZATION SALIENCY DETECTION

Making Images Undiscoverable from Co-Saliency Detection

19 Sep 2020

In recent years, co-saliency object detection (CoSOD) has achieved significant progress and played a key role in the retrieval-related tasks, e. g., image retrieval and video foreground detection.

ADVERSARIAL ATTACK IMAGE RETRIEVAL OBJECT DETECTION SALIENCY DETECTION

Co-Saliency Detection with Co-Attention Fully Convolutional Network

20 Aug 2020

Co-saliency detection aims to detect common salient objects from a group of relevant images.

CO-SALIENT OBJECT DETECTION

Weakly Supervised Learning with Region and Box-level Annotations for Salient Instance Segmentation

19 Aug 2020

We present a cyclic global context salient instance segmentation network (CGCNet), which is supervised by the combination of the binary salient regions and bounding boxes from the existing saliency detection datasets.

INSTANCE SEGMENTATION SALIENCY DETECTION SEMANTIC SEGMENTATION

Implicit Saliency in Deep Neural Networks

4 Aug 2020

In this paper, we show that existing recognition and localization deep architectures, that have not been exposed to eye tracking data or any saliency datasets, are capable of predicting the human visual saliency.

EYE TRACKING SALIENCY DETECTION

A Plug-and-play Scheme to Adapt Image Saliency Deep Model for Video Data

2 Aug 2020

With the rapid development of deep learning techniques, image saliency deep models trained solely by spatial information have occasionally achieved detection performance for video data comparable to that of the models trained by both spatial and temporal information.

VIDEO SALIENCY DETECTION

Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection

ECCV 2020

The proposed model consists of two sub-models parameterized by neural networks: (1) a saliency predictor that maps input images to clean saliency maps, and (2) a noise generator, which is a latent variable model that produces noises from Gaussian latent vectors.

SALIENCY DETECTION