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Saliency Detection

40 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

Exploring Rich and Efficient Spatial Temporal Interactions for Real Time Video Salient Object Detection

7 Aug 2020

In this way, even though the overall video saliency quality is heavily dependent on its spatial branch, however, the performance of the temporal branch still matter.

VIDEO SALIENCY DETECTION VIDEO SALIENT OBJECT DETECTION

Online Visual Place Recognition via Saliency Re-identification

29 Jul 2020

As an essential component of visual simultaneous localization and mapping (SLAM), place recognition is crucial for robot navigation and autonomous driving.

AUTONOMOUS DRIVING ROBOT NAVIGATION SALIENCY DETECTION SIMULTANEOUS LOCALIZATION AND MAPPING VISUAL PLACE RECOGNITION

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

23 Jul 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

Synergistic saliency and depth prediction for RGB-D saliency detection

3 Jul 2020

Evaluation on seven RGBD datasets demonstrates that, without using hand-labelled saliency ground truth for RGB-D datasets and using only the RGB channels of these datasets at inference, our system achieves performance that is comparable to state-of-the-art methods that use hand-labelled saliency maps for RGB-D data at training and use the depth channels of these datasets at inference.

DEPTH ESTIMATION SALIENCY DETECTION

Select, Supplement and Focus for RGB-D Saliency Detection

CVPR 2020

Depth data containing a preponderance of discriminative power in location have been proven beneficial for accurate saliency prediction.

SALIENCY DETECTION SALIENCY PREDICTION

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders

CVPR 2020

In this paper, we propose the first framework (UCNet) to employ uncertainty for RGB-D saliency detection by learning from the data labeling process.

SALIENCY DETECTION

Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection

CVPR 2020

For this task, we present a novel adaptive graph convolutional network with attention graph clustering (GCAGC).

CO-SALIENCY DETECTION GRAPH CLUSTERING

Depth-aware Blending of Smoothed Images for Bokeh Effect Generation

28 May 2020

The original image and different versions of smoothed images are blended to generate Bokeh effect with the help of a monocular depth estimation network.

MONOCULAR DEPTH ESTIMATION SALIENCY DETECTION

Towards Mesh Saliency Detection in 6 Degrees of Freedom

27 May 2020

Traditional 3D mesh saliency detection algorithms and corresponding databases were proposed under several constraints such as providing limited viewing directions and not taking the subject's movement into consideration.

SALIENCY DETECTION

Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification

21 May 2020

The deployment of automated systems to diagnose diseases from medical images is challenged by the requirement to localise the diagnosed diseases to justify or explain the classification decision.

REGION PROPOSAL SALIENCY DETECTION