SOTAVerified

Saliency Detection

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

Papers

Showing 81–90 of 364 papers

TitleStatusHype
Feature Hallucination for Self-supervised Action Recognition—0
Low-Rate Semantic Communication with Codebook-based Conditional Generative Models—0
Collaborative Temporal Consistency Learning for Point-supervised Natural Language Video Localization—0
A Deep Learning Framework for Visual Attention Prediction and Analysis of News InterfacesCode0
Copy-Move Detection in Optical Microscopy: A Segmentation Network and A DatasetCode0
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety—0
VISTA: A Visual and Textual Attention Dataset for Interpreting Multimodal Models—0
Evaluating saliency scores in point clouds of natural environments by learning surface anomalies—0
Saliency Detection in Educational Videos: Analyzing the Performance of Current Models, Identifying Limitations and Advancement Directions—0
AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction—0
Show:102550
← PrevPage 9 of 37Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1UCFMAE0.12—Unverified
2U2-Net+MAE0.06—Unverified
3U2-NetMAE0.05—Unverified
4LDF(ours)MAE0.05—Unverified
5Pyramid Feature AttentionMAE0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1U2-Net+MAE0.04—Unverified
2Pyramid Feature AttentionMAE0.03—Unverified
3LDF(ours)MAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1SUMAUC0.89—Unverified
2EYMOLAUC0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.04—Unverified
2PFAN [zhao2019pyramid] (+) PRNMAE0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.03—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTmax_F184.81—Unverified
#ModelMetricClaimedVerifiedStatus
1Pyramid Feature AttentionMAE0.07—Unverified