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Thermal Image Segmentation

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논문

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

Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation

Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance

StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation

RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion

CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes

UniRGB-IR: A Unified Framework for RGB-Infrared Semantic Tasks via Adapter Tuning

Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion

Context-Aware Interaction Network for RGB-T Semantic Segmentation

IGFNet: Illumination-Guided Fusion Network for Semantic Scene Understanding using RGB-Thermal Images

Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning

InfraParis: A multi-modal and multi-task autonomous driving dataset

CACFNet: Cross-Modal Attention Cascaded Fusion Network for RGB-T Urban Scene Parsing

MMSFormer: Multimodal Transformer for Material and Semantic Segmentation

Channel and Spatial Relation-Propagation Network for RGB-Thermal Semantic Segmentation

EGFNet: Edge-Aware Guidance Fusion Network for RGB–Thermal Urban Scene Parsing

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation

Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation

Residual Spatial Fusion Network for RGB-Thermal Semantic Segmentation

Complementary Random Masking for RGB-Thermal Semantic Segmentation

Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks

SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation

Delivering Arbitrary-Modal Semantic Segmentation

CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal Images

GEBNet: Graph-Enhancement Branch Network for RGB-T Scene Parsing

RGB-T Semantic Segmentation with Location, Activation, and Sharpening

Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images

DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic Segmentation

Glass Segmentation with RGB-Thermal Image Pairs

MTANet: Multitask-Aware Network With Hierarchical Multimodal Fusion for RGB-T Urban Scene Understanding

CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers

Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction

Edge-aware Guidance Fusion Network for RGB Thermal Scene Parsing

FTNet: Feature Transverse Network for Thermal Image Semantic Segmentation

FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation

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