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Salient Object Detection

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

Seg-R1: Segmentation Can Be Surprisingly Simple with Reinforcement Learning

Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective

FLIM-based Salient Object Detection Networks with Adaptive Decoders

Visual Consensus Prompting for Co-Salient Object Detection

Flyweight FLIM Networks for Salient Object Detection in Biomedical Images

Multi-level Cellular Automata for FLIM networks

Uncertainty Guided Refinement for Fine-Grained Salient Object Detection

KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection

Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation

Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline

CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection

A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces

HSOD-BIT-V2: A New Challenging Benchmarkfor Hyperspectral Salient Object Detection

SSNet: Saliency Prior and State Space Model-based Network for Salient Object Detection in RGB-D Images

Unifying Light Field Perception with Field of Parallax

Geometry-Aware 3D Salient Object Detection Network

Multi-Task-oriented Nighttime Haze Imaging Enhancer for Vision-driven Measurement Systems

Cross-Entropy Attacks to Language Models via Rare Event Simulation

Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation

CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement

FOCUS: Towards Universal Foreground Segmentation

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models

Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection

Spectrum-oriented Point-supervised Saliency Detector for Hyperspectral Images

Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection

Alignment-Free RGB-T Salient Object Detection: A Large-scale Dataset and Progressive Correlation Network

Unconstrained Salient and Camouflaged Object Detection

Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection

Deep Fourier-embedded Network for Bi-modal Salient Object Detection

Leverage Task Context for Object Affordance Ranking

Transforming Static Images Using Generative Models for Video Salient Object Detection

Instruction-Driven Fusion of Infrared-Visible Images: Tailoring for Diverse Downstream Tasks

LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection

United Domain Cognition Network for Salient Object Detection in Optical Remote Sensing Images

Efficient Fourier Filtering Network with Contrastive Learning for UAV-based Unaligned Bi-modal Salient Object Detection

Localization, balance and affinity: a stronger multifaceted collaborative salient object detector in remote sensing images

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.