Copertina

Good Representation, Better Explanation: Role of Convolutional Neural Networks in Transformer-Based Remote Sensing Image Captioning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Das, Swadhin, Gupta, Saarthak, Kumar, Kamal, Sharma, Raksha
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Novel Lightweight Transformer with Edge-Aware Fusion for Remote Sensing Image Captioning
di: Das, Swadhin, et al.
Pubblicazione: (2025)

MsEdF: A Multi-stream Encoder-decoder Framework for Remote Sensing Image Captioning
di: Das, Swadhin, et al.
Pubblicazione: (2025)

JSSFF: A Joint Structural-Semantic Fusion Framework for Remote Sensing Image Captioning
di: Das, Swadhin, et al.
Pubblicazione: (2026)

A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning
di: Das, Swadhin, et al.
Pubblicazione: (2024)

Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks
di: Sharma, Aaryam
Pubblicazione: (2025)

A Lightweight Sparse Focus Transformer for Remote Sensing Image Change Captioning
di: Sun, Dongwei, et al.
Pubblicazione: (2024)

SEMT: Static-Expansion-Mesh Transformer Network Architecture for Remote Sensing Image Captioning
di: Truong, Khang, et al.
Pubblicazione: (2025)

Multilingual Training-Free Remote Sensing Image Captioning
di: Rebelo, Carlos, et al.
Pubblicazione: (2025)

Remote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning Techniques
di: Zaid, Mustafa Majeed Abd, et al.
Pubblicazione: (2025)

Large Language Models for Captioning and Retrieving Remote Sensing Images
di: Silva, João Daniel, et al.
Pubblicazione: (2024)

Evaluating Remote Sensing Image Captions Beyond Metric Biases
di: Chen, Ziyun, et al.
Pubblicazione: (2026)

Physical Rule-Guided Convolutional Neural Network
di: Gupta, Kishor Datta, et al.
Pubblicazione: (2024)

Enhancing Perception of Key Changes in Remote Sensing Image Change Captioning
di: Yang, Cong, et al.
Pubblicazione: (2024)

TNet: Terrace Convolutional Decoder Network for Remote Sensing Image Semantic Segmentation
di: Dai, Chengqian, et al.
Pubblicazione: (2025)

SceneMixer: Exploring Convolutional Mixing Networks for Remote Sensing Scene Classification
di: Alkhatib, Mohammed Q., et al.
Pubblicazione: (2025)

Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets
di: Hurt, J. Alex, et al.
Pubblicazione: (2025)

Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery
di: Dahal, Ashim, et al.
Pubblicazione: (2024)

What Makes for Good Image Captions?
di: Chen, Delong, et al.
Pubblicazione: (2024)

RSCaMa: Remote Sensing Image Change Captioning with State Space Model
di: Liu, Chenyang, et al.
Pubblicazione: (2024)

HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning
di: Wang, Man, et al.
Pubblicazione: (2026)

Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis
di: Sharma, Anuraganand, et al.
Pubblicazione: (2020)

Adaptive 3D Convolution for Remote Sensing Image Fusion
di: Peng, Siran, et al.
Pubblicazione: (2026)

Semantic-Spatial Feature Fusion with Dynamic Graph Refinement for Remote Sensing Image Captioning
di: Liu, Maofu, et al.
Pubblicazione: (2025)

A Benchmark for Multi-Lingual Vision-Language Learning in Remote Sensing Image Captioning
di: Zhou, Qing, et al.
Pubblicazione: (2025)

When Better Eyes Lead to Blindness: A Diagnostic Study of the Information Bottleneck in CNN-LSTM Image Captioning Models
di: Gupta, Hitesh Kumar
Pubblicazione: (2025)

Change Captioning in Remote Sensing: Evolution to SAT-Cap -- A Single-Stage Transformer Approach
di: Wang, Yuduo, et al.
Pubblicazione: (2025)

FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks
di: Panda, Mahadev Prasad, et al.
Pubblicazione: (2024)

Weed Detection using Convolutional Neural Network
di: Tripathi, Santosh Kumar, et al.
Pubblicazione: (2025)

Leveraging Convolutional and Graph Networks for an Unsupervised Remote Sensing Labelling Tool
di: Patel, Tulsi, et al.
Pubblicazione: (2025)

Kronecker Product Feature Fusion for Convolutional Neural Network in Remote Sensing Scene Classification
di: Cheng, Yinzhu
Pubblicazione: (2024)

Diffusion-RSCC: Diffusion Probabilistic Model for Change Captioning in Remote Sensing Images
di: Yu, Xiaofei, et al.
Pubblicazione: (2024)

TAME: Attention Mechanism Based Feature Fusion for Generating Explanation Maps of Convolutional Neural Networks
di: Ntrougkas, Mariano, et al.
Pubblicazione: (2023)

Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning
di: Tosato, Lucrezia, et al.
Pubblicazione: (2026)

Semantic-CC: Boosting Remote Sensing Image Change Captioning via Foundational Knowledge and Semantic Guidance
di: Zhu, Yongshuo, et al.
Pubblicazione: (2024)

Communication-Efficient Federated Learning Based on Explanation-Guided Pruning for Remote Sensing Image Classification
di: Klotz, Jonas, et al.
Pubblicazione: (2025)

MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
di: Yu, Weikang, et al.
Pubblicazione: (2024)

MV-CC: Mask Enhanced Video Model for Remote Sensing Change Caption
di: Liu, Ruixun, et al.
Pubblicazione: (2024)

UnMA-CapSumT: Unified and Multi-Head Attention-driven Caption Summarization Transformer
di: Sharma, Dhruv, et al.
Pubblicazione: (2024)

LuoJiaHOG: A Hierarchy Oriented Geo-aware Image Caption Dataset for Remote Sensing Image-Text Retrival
di: Zhao, Yuanxin, et al.
Pubblicazione: (2024)

Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation
di: Su, Xingzhe, et al.
Pubblicazione: (2023)