Saliency Prediction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

9 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 105 papers with code (268 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Uncertainty Inspired RGB-D Saliency Detection
  7 Sep 2020 4 repositories listed
  Our framework includes two main models: 1) a generator model, which maps the input image and latent variable to stochastic saliency prediction, and 2) an inference model, which gradually updates the latent variable by…
• Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
  4 Feb 2020 4 repositories listed
  In this paper, we introduce and tackle the simultaneous enhancement and super-resolution (SESR) problem for underwater robot vision and provide an efficient solution for near real-time applications.
• Contextual Encoder-Decoder Network for Visual Saliency Prediction
  18 Feb 2019 4 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  To develop robust representations for this challenging task, high-level visual features at multiple spatial scales must be extracted and augmented with contextual information.
• SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
  4 Jan 2017 4 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  We introduce SalGAN, a deep convolutional neural network for visual saliency prediction trained with adversarial examples.
• Specificity-preserving RGB-D Saliency Detection
  18 Aug 2021 3 repositories listed Syntology ran 8 of 14 samples · 6 unverified · 14 pointer-only (licence)
  To effectively fuse cross-modal features in the shared learning network, we propose a cross-enhanced integration module (CIM) and then propagate the fused feature to the next layer for integrating cross-level…
• Semantic Segmentation of Underwater Imagery: Dataset and Benchmark
  2 Apr 2020 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We also present a benchmark evaluation of state-of-the-art semantic segmentation approaches based on standard performance metrics.
• BASNet: Boundary-Aware Salient Object Detection
  1 Jun 2019 3 repositories listed
  In this paper, we propose a predict-refine architecture, BASNet, and a new hybrid loss for Boundary-Aware Salient object detection.
• Fast Underwater Image Enhancement for Improved Visual Perception
  23 Mar 2019 3 repositories listed
  In this paper, we present a conditional generative adversarial network-based model for real-time underwater image enhancement.
• Reverse Attention for Salient Object Detection
  26 Jul 2018 3 repositories listed
  Benefit from the quick development of deep learning techniques, salient object detection has achieved remarkable progresses recently.
• DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
  26 May 2021 2 repositories listed Syntology ran 13 of 20 samples · 7 unverified · 16 pointer-only (licence)
  Since 2014 transfer learning has become the key driver for the improvement of spatial saliency prediction; however, with stagnant progress in the last 3-5 years.
• Generative Transformer for Accurate and Reliable Salient Object Detection
  20 Apr 2021 2 repositories listed
  For the former, we apply transformer to a deterministic model, and explain that the effective structure modeling and global context modeling abilities lead to its superior performance compared with the CNN based…
• Unified Image and Video Saliency Modeling
  11 Mar 2020 2 repositories listed Syntology ran 3 of 9 samples · 6 unverified
  We evaluate our method on the video saliency datasets DHF1K, Hollywood-2 and UCF-Sports, and the image saliency datasets SALICON and MIT300.
• Simple vs complex temporal recurrences for video saliency prediction
  3 Jul 2019 2 repositories listed
  This paper investigates modifying an existing neural network architecture for static saliency prediction using two types of recurrences that integrate information from the temporal domain.
• DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction
  25 May 2019 2 repositories listed
  Our results suggest that (1) audio is a strong contributing cue for saliency prediction, (2) salient visible sound-source is the natural cause of the superiority of our Audio-Visual model, (3) richer feature…
• PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection
  15 Dec 2018 2 repositories listed
  We propose three specific formulations of the PiCANet via embedding the pixel-wise contextual attention mechanism into the pooling and convolution operations with attending to global or local contexts.
• A Neurodynamic model of Saliency prediction in V1
  15 Nov 2018 2 repositories listed
  Lateral connections in the primary visual cortex (V1) have long been hypothesized to be responsible of several visual processing mechanisms such as brightness induction, chromatic induction, visual discomfort and…
• Temporal Saliency Adaptation in Egocentric Videos
  28 Aug 2018 2 repositories listed
  This work adapts a deep neural model for image saliency prediction to the temporal domain of egocentric video.
• Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
  10 Apr 2018 2 repositories listed
  Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding humans in crowded scenes, such as group…
• Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition
  24 Mar 2018 2 repositories listed
  We present a new computational model for gaze prediction in egocentric videos by exploring patterns in temporal shift of gaze fixations (attention transition) that are dependent on egocentric manipulation tasks.
• Faster gaze prediction with dense networks and Fisher pruning
  17 Jan 2018 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Predicting human fixations from images has recently seen large improvements by leveraging deep representations which were pretrained for object recognition.
• Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation
  22 Dec 2017 2 repositories listed
  In this paper, we propose a novel two-step understanding method, namely Salient Relevance (SR) map, which aims to shed light on how deep CNNs recognize images and learn features from areas, referred to as attention…
• Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
  29 Nov 2016 2 repositories listed Syntology ran 2 of 11 samples · 9 unverified
  Data-driven saliency has recently gained a lot of attention thanks to the use of Convolutional Neural Networks for predicting gaze fixations.
• A Deep Multi-Level Network for Saliency Prediction
  5 Sep 2016 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Current state of the art models for saliency prediction employ Fully Convolutional networks that perform a non-linear combination of features extracted from the last convolutional layer to predict saliency maps.
• CASE: Contrastive Activation for Saliency Estimation
  8 Jun 2025 1 repository listed
  In this work, we propose a diagnostic test for class sensitivity: a method's ability to distinguish between competing class labels on the same input.
• CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection
  15 May 2025 1 repository listed
  Building upon this, we propose a dual-branch priors embedding architecture (DBPEA) that establishes differentiated feature fusion pathways, embedding these two priors at optimal network positions to achieve performance…
• Uncertainty Guided Refinement for Fine-Grained Salient Object Detection
  13 Apr 2025 1 repository listed
  To address this, we introduce the uncertainty guidance learning approach to SOD, intended to enhance the model's perception of uncertain regions.
• Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
  2 Apr 2025 1 repository listed
  Mesh saliency enhances the adaptability of 3D vision by identifying and emphasizing regions that naturally attract visual attention.
• A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces
  21 Mar 2025 1 repository listed
  News outlets' competition for attention in news interfaces has highlighted the need for demographically-aware saliency prediction models.
• Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics
  11 Dec 2024 1 repository listed
  Textured meshes significantly enhance the realism and detail of objects by mapping intricate texture details onto the geometric structure of 3D models.
• Correlation of Object Detection Performance with Visual Saliency and Depth Estimation
  5 Nov 2024 1 repository listed
  As object detection techniques continue to evolve, understanding their relationships with complementary visual tasks becomes crucial for optimising model architectures and computational resources.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.