112 skills found · Page 1 of 4
lartpang / PySODMetricsPySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrics
CaitinZhao / Cvpr2019 Pyramid Feature Attention Network For Saliency Detectioncode and model of Pyramid Feature Selective Network for Saliency detection
Shanghua-Gao / SOD100KThe official repo of the TPAMI 2021/ECCV 2020 work CSNet: A Highly Efficient Model with 100K Parameters to Study the Semantics of Salient Object Detection
lartpang / MINetCVPR2020, Multi-scale Interactive Network for Salient Object Detection
marcellacornia / SamPredicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)
matthias-k / PysaliencyPython Framework for Saliency Modeling and Evaluation
microsoft / OpenKPAutomatically extracting keyphrases that are salient to the document meanings is an essential step to semantic document understanding. An effective keyphrase extraction (KPE) system can benefit a wide range of natural language processing and information retrieval tasks. Recent neural methods formulate the task as a document-to-keyphrase sequence-to-sequence task. These seq2seq learning models have shown promising results compared to previous KPE systems The recent progress in neural KPE is mostly observed in documents originating from the scientific domain. In real-world scenarios, most potential applications of KPE deal with diverse documents originating from sparse sources. These documents are unlikely to include the structure, prose and be as well written as scientific papers. They often include a much diverse document structure and reside in various domains whose contents target much wider audiences than scientists. To encourage the research community to develop a powerful neural model with key phrase extraction on open domains we have created OpenKP: a dataset of over 150,000 documents with the most relevant keyphrases generated by expert annotation.
rdroste / UnisalUnified Image and Video Saliency Modeling (ECCV 2020)
wenguanwang / DHF1KRevisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)
DengPingFan / D3NetBenchmarkRethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks, IEEE TNNLS 2020
LiamLian0727 / USIS10K[ICML 2024] Official repository of the paper: "Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset"
remega / OMCNN 2CLSTMThe model of "DeepVS: A Deep Learning Based Video Saliency Prediction Approach" (ECCV2018
marcellacornia / MlnetA Deep Multi-Level Network for Saliency Prediction. ICPR 2016
Arhosseini77 / SUM[WACV2025 Oral] SUM: Saliency Unification through Mamba for Visual Attention Modeling
RowitZou / Topic Dialog SummAAAI-2021 paper: Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling.
CLT29 / OpenSALICONAn open source implementation of the SALICON saliency model
JonathanCrabbe / DynamaskThis repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.
zlmzju / DeepSaliencySource Code and Model for DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
zhao-chunyu / SaliencyMamba[AAAI’2025] SalM²: An Extremely Lightweight Saliency Mamba Model for Real-Time Cognitive Awareness of Driver Attention
TsotsosLab / SMILERThe Saliency Model Implementation Library for Experimental Research.
