Weakly-supervised Semantic Guided Hashing for Social Image Retrieval
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01331-0
Abstract: Hashing has been widely investigated for large-scale image retrieval due to its search effectiveness and computation efficiency. In this work, we propose a novel Semantic Guided Hashing method coupled with binary matrix factorization to perform… read more here.
Keywords: image; weakly supervised; image retrieval; social image ... See more keywords
Semantic-guided attention and adaptive gating for document-level relation extraction
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-78051-9
Abstract: In natural language processing, document-level relation extraction is a complex task that aims to predict the relationships among entities by capturing contextual interactions from an unstructured document. Existing graph- and transformer-based models capture long-range relational… read more here.
Keywords: document level; document; attention; level relation ... See more keywords
Semantic-Guided Selective Representation for Image Captioning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3243952
Abstract: Grid-based features have been proven to be as effective as region-based features in multi-modal tasks such as visual question answering. However, its application to image captioning encounters two main issues, namely, noisy features and fragmented… read more here.
Keywords: line testing; semantic guided; image; image captioning ... See more keywords
SGNet: A Transformer-Based Semantic-Guided Network for Building Change Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3402388
Abstract: Building change detection (BCD) is a widely used method for monitoring human activities. Despite advancements in deep learning (DL) in computer vision, recent DL-based BCD methods still face challenges in extracting discriminative features due to… read more here.
Keywords: change detection; building change; change; semantic guided ... See more keywords
Progressive Semantic-Guided Network for the Extraction of Raft Aquaculture Areas From Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3432794
Abstract: Accurate monitoring of raft aquaculture areas is particularly important for raft aquaculture planning and management. However, due to natural and human factors such as tidal changes and crop harvesting, the spectral response in some aquaculture… read more here.
Keywords: raft aquaculture; remote sensing; semantic guided; aquaculture areas ... See more keywords
SCAFNet: Semantic-Guided Cascade Adaptive Fusion Network for Infrared Small Target Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3492256
Abstract: Infrared small target detection is a crucial component of infrared target tracking and search. It is challenging due to the complex backgrounds, low contrast between targets and backgrounds, and the small, dim nature of the… read more here.
Keywords: small target; target detection; fusion; target ... See more keywords
Semantic-Guided Flow Matching for Fast and Accurate Remote Sensing Image Super-Resolution
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3608455
Abstract: Current diffusion-based super-resolution methods for remote sensing images face two critical limitations: 1) excessive computational demands due to iterative sampling and 2) semantic inconsistency in reconstructed images caused by stochastic denoising. To address these challenges,… read more here.
Keywords: flow matching; remote sensing; semantic guided; guided flow ... See more keywords
DPSNET: A Dual-Path Lightweight Network With Semantic-Guided Cross-Modal Feature Fusion for Multimodal Object Detection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3612628
Abstract: Multimodal object detection is crucial for autonomous driving and intelligent surveillance. However, the existing methods face critical challenges, such as cross-modal semantic misalignment from heterogeneous spatial structures, degraded infrared (IR) representation under low contrast, and… read more here.
Keywords: detection; fusion; cross modal; semantic guided ... See more keywords
Few-Shot Human-Object Interaction Recognition With Semantic-Guided Attentive Prototypes Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3046861
Abstract: Extreme instance imbalance among categories and combinatorial explosion make the recognition of Human-Object Interaction (HOI) a challenging task. Few studies have addressed both challenges directly. Motivated by the success of few-shot learning that learns a… read more here.
Keywords: recognition; hoi; object interaction; attentive prototypes ... See more keywords
Contrastive Semantic‐Guided Image Smoothing Network
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14681
Abstract: Image smoothing is a fundamental low‐level vision task that aims to preserve salient structures of an image while removing insignificant details. Deep learning has been explored in image smoothing to deal with the complex entanglement… read more here.
Keywords: network; contrastive semantic; image smoothing; semantic guided ... See more keywords
DeepLuAd: Semantic-guided virtual histopathology of lung adenocarcinoma via stimulated Raman scattering
Sign Up to like & getrecommendations! Published in 2026 at "Theranostics"
DOI: 10.7150/thno.125443
Abstract: Rationale: Accurate histologic grading of lung adenocarcinoma is essential for guiding clinical management. Conventional hematoxylin and eosin (H&E) staining provides morphological information but lacks biochemical specificity, limiting quantitative analysis of tissue subtypes within the heterogeneous… read more here.
Keywords: stimulated raman; lung; lung adenocarcinoma; raman scattering ... See more keywords