https://github.com/OIPLab-DUT/CoNet
공식 코드Accurate RGB-D Salient Object Detection via Collaborative Learning
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Accurate RGB-D Salient Object Detection via Collaborative Learning
Unifying Global-Local Representations in Salient Object Detection with Transformer
RGB-D Salient Object Detection via 3D Convolutional Neural Networks
ASOD60K: An Audio-Induced Salient Object Detection Dataset for Panoramic Videos
A Fixation-based 360° Benchmark Dataset for Salient Object Detection
Learning Synergistic Attention for Light Field Salient Object Detection
SHD360: A Benchmark Dataset for Salient Human Detection in 360° Videos
A Fixation-based 360° Benchmark Dataset for Salient Object Detection
Highly Efficient Salient Object Detection with 100K Parameters
DFNet: Discriminative feature extraction and integration network for salient object detection
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection
IDA: Improved Data Augmentation Applied to Salient Object Detection
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
Suppress and Balance: A Simple Gated Network for Salient Object Detection
Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection
BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection
MOVE: Unsupervised Movable Object Segmentation and Detection
Unsupervised Object Keypoint Learning using Local Spatial Predictability
Multi-Task-oriented Nighttime Haze Imaging Enhancer for Vision-driven Measurement Systems
Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection
Unified-modal Salient Object Detection via Adaptive Prompt Learning
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection
Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection
Multi-scale Edge-based U-shape Network for Salient Object Detection
Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection
Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection
Learning Video Salient Object Detection Progressively from Unlabeled Videos
A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation
United Domain Cognition Network for Salient Object Detection in Optical Remote Sensing Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.