https://github.com/imatge-upc/SalEMA
공식 코드Simple vs complex temporal recurrences for video saliency prediction
Papers with Code 아카이브
Saliency Prediction
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A saliency map is a model that predicts eye fixations on a visual scene. Saliency prediction is informed by the human visual attention mechanism and predicts the possibility of the human eyes to stay in a certain position in the scene.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/imatge-upc/salgan
공식 코드SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
https://github.com/imatge-upc/saliency-2016-cvpr
공식 코드Shallow and Deep Convolutional Networks for Saliency Prediction
https://github.com/imatge-upc/saliency-2016-lsun
공식 코드https://github.com/intmegroup/avs-odv
공식 코드How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and Model
https://github.com/ispc-lab/RSKDD-Net
공식 코드RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
https://github.com/ivrl/augsal
공식 코드Data Augmentation via Latent Diffusion for Saliency Prediction
https://github.com/ivrl/dissal
공식 코드https://github.com/jingzhang617/ebmgsod
공식 코드https://github.com/kaviezhang/TexturedMeshSaliency
공식 코드Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics
https://github.com/kaviezhang/meshmamba
공식 코드Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes
https://github.com/knowledgetechnologyuhh/gasp
공식 코드https://github.com/ljovo/transalnet
공식 코드TranSalNet: Towards perceptually relevant visual saliency prediction
https://github.com/luoyan407/congruency
공식 코드Direction Concentration Learning: Enhancing Congruency in Machine Learning
https://github.com/marcellacornia/mlnet
공식 코드https://github.com/marcellacornia/sam
공식 코드Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
https://github.com/matthewkenely/framework-attention-news
공식 코드A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces
https://github.com/matthias-k/DeepGaze
공식 코드DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
https://github.com/mbar0075/object-detection-correlation-saliency-vs-depth
공식 코드Correlation of Object Detection Performance with Visual Saliency and Depth Estimation
https://github.com/msu-video-group/ECCVW24_Saliency_Prediction
공식 코드AIM 2024 Challenge on Video Saliency Prediction: Methods and Results
https://github.com/mtliba/ATSal
공식 코드ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos
https://github.com/nexiakele/AMSODFirst
공식 코드https://github.com/nian-liu/PiCANet
공식 코드PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection
https://github.com/nnizhang/SMAC
공식 코드https://github.com/olobbcode/noiself
공식 코드Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
https://github.com/perceivelab/hd2s
공식 코드Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction
https://github.com/rdroste/unisal
공식 코드https://github.com/samyak0210/ViNet
공식 코드ViNet: Pushing the limits of Visual Modality for Audio-Visual Saliency Prediction
https://github.com/samyak0210/saliency
공식 코드https://github.com/saumya-jetley/cd_Saliency_PDP
공식 코드End-to-End Saliency Mapping via Probability Distribution Prediction
https://github.com/szzexpoi/saliency_analysis
공식 코드https://github.com/tanveer-hussain/efficientsod2
공식 코드https://github.com/taozh2017/RGBD-SODsurvey
공식 코드https://github.com/taozh2017/spnet
공식 코드https://github.com/wenguanwang/SODsurvey
공식 코드Salient Object Detection in the Deep Learning Era: An In-Depth Survey
https://github.com/xahidbuffon/Deep-SESR
공식 코드Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.