Copertina

AI driven shadow model detection in agropv farms

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dornadula, Sai Paavan Kumar, Brunet, Pascal, Elias, Susan
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Few-shot target-driven instance detection based on open-vocabulary object detection models
di: Crulis, Ben, et al.
Pubblicazione: (2024)

Feedback-driven object detection and iterative model improvement
di: Tenckhoff, Sönke, et al.
Pubblicazione: (2024)

The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series
di: Hemmerling, Jan, et al.
Pubblicazione: (2026)

AI killed the video star. Audio-driven diffusion model for expressive talking head generation
di: Chopin, Baptiste, et al.
Pubblicazione: (2025)

Container damage detection using advanced computer vision model Yolov12 vs Yolov11 vs RF-DETR A comparative analysis
di: Kumar, Subhadip
Pubblicazione: (2025)

WB LUTs: Contrastive Learning for White Balancing Lookup Tables
di: Manne, Sai Kumar Reddy, et al.
Pubblicazione: (2024)

Disentangling spatio-temporal knowledge for weakly supervised object detection and segmentation in surgical video
di: Liao, Guiqiu, et al.
Pubblicazione: (2024)

AI-driven visual monitoring of industrial assembly tasks
di: Nardon, Mattia, et al.
Pubblicazione: (2025)

Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates
di: Shum, Ka Chun, et al.
Pubblicazione: (2023)

Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attention
di: Lyu, Jiahao, et al.
Pubblicazione: (2024)

No Identity, no problem: Motion through detection for people tracking
di: Engilberge, Martin, et al.
Pubblicazione: (2024)

Turn-by-Turn Indoor Navigation for the Visually Impaired
di: Srinivasaiah, Santosh, et al.
Pubblicazione: (2024)

Exploring deep learning for Event-Based Saliency Prediction with a Transformer-based model
di: Mazna, Romaric, et al.
Pubblicazione: (2026)

AI-driven 3D Spatial Transcriptomics
di: Almagro-Pérez, Cristina, et al.
Pubblicazione: (2025)

Enhancing weed detection performance by means of GenAI-based image augmentation
di: Modak, Sourav, et al.
Pubblicazione: (2024)

CLIP-driven Outliers Synthesis for few-shot OOD detection
di: Sun, Hao, et al.
Pubblicazione: (2024)

ENSAM: an efficient foundation model for interactive segmentation of 3D medical images
di: Stenhede, Elias, et al.
Pubblicazione: (2025)

Lite ENSAM: a lightweight cancer segmentation model for 3D Computed Tomography
di: Bjørnstad, Agnar Martin, et al.
Pubblicazione: (2025)

Towards multi-modal forgery representation learning for AI-generated video detection and localization
di: Le, Dat, et al.
Pubblicazione: (2026)

OmViD: Omni-supervised active learning for video action detection
di: Rana, Aayush, et al.
Pubblicazione: (2025)

Unsupervised learning based object detection using Contrastive Learning
di: Kumar, Chandan, et al.
Pubblicazione: (2024)

A lightweight YOLOv5-FFM model for occlusion pedestrian detection
di: Luo, Xiangjie, et al.
Pubblicazione: (2024)

CD-Mamba: Cloud detection with long-range spatial dependency modeling
di: Xue, Tianxiang, et al.
Pubblicazione: (2025)

The object detection model uses combined extraction with KNN and RF classification
di: Kurniati, Florentina Tatrin, et al.
Pubblicazione: (2024)

SAM-based instance segmentation models for the automation of structural damage detection
di: Ye, Zehao, et al.
Pubblicazione: (2024)

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

Dimitra: Audio-driven Diffusion model for Expressive Talking Head Generation
di: Chopin, Baptiste, et al.
Pubblicazione: (2025)

QSM-RimDS: A detection and segmentation tool for paramagnetic rim lesions in multiple sclerosis
di: Luu, Ha, et al.
Pubblicazione: (2024)

Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
di: Aguila, Ana Lawry, et al.
Pubblicazione: (2025)

From Clinical Intent to Clinical Model: Autonomous Coding-Agents for Clinician-driven AI Development
di: Zhao, Zihao, et al.
Pubblicazione: (2026)

DiffAtlas: GenAI-fying Atlas Segmentation via Image-Mask Diffusion
di: Zhang, Hantao, et al.
Pubblicazione: (2025)

Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition
di: Kumar, Pulkit, et al.
Pubblicazione: (2025)

Trajectory-aligned Space-time Tokens for Few-shot Action Recognition
di: Kumar, Pulkit, et al.
Pubblicazione: (2024)

COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection
di: Zhang, Xiaoqin, et al.
Pubblicazione: (2024)

MambaBEV: An EV-based 3D detection model with Mamba2
di: You, Zihan, et al.
Pubblicazione: (2024)

SelfEval: Leveraging the discriminative nature of generative models for evaluation
di: Rambhatla, Sai Saketh, et al.
Pubblicazione: (2023)

MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization
di: Pappa, Massimiliano, et al.
Pubblicazione: (2024)

Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer
di: Brattoli, Biagio, et al.
Pubblicazione: (2024)

A model-agnostic active learning approach for animal detection from camera traps
di: Nguyen, Thi Thu Thuy, et al.
Pubblicazione: (2025)

Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models
di: Patrício, Cristiano, et al.
Pubblicazione: (2024)