Image de couverture de livre

Detecting Visual Triggers in Cannabis Imagery: A CLIP-Based Multi-Labeling Framework with Local-Global Aggregation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lu, Linqi, Yu, Xianshi, Reddy, Akhil Perumal
Format:	Preprint
Publié:	2024
Sujets:	Computers and Society Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
par: Klemmer, Konstantin, et autres
Publié: (2023)

Predicting Local Climate Zones using Urban Morphometrics and Satellite Imagery
par: Majer, Hugo, et autres
Publié: (2026)

Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts
par: Lee, Sumin, et autres
Publié: (2025)

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation
par: Jha, Akshita, et autres
Publié: (2024)

Beluga Whale Detection from Satellite Imagery with Point Labels
par: Zheng, Yijie, et autres
Publié: (2025)

From Drone Imagery to Livability Mapping: AI-powered Environment Perception in Rural China
par: Deng, Weihuan, et autres
Publié: (2025)

CLIP-UP: CLIP-Based Unanswerable Problem Detection for Visual Question Answering
par: Vardi, Ben, et autres
Publié: (2025)

Open-Vocabulary X-ray Prohibited Item Detection via Fine-tuning CLIP
par: Lin, Shuyang, et autres
Publié: (2024)

CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery
par: Chen, Zilin, et autres
Publié: (2024)

Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding
par: Elhenawy, Mohammed, et autres
Publié: (2025)

Language Augmentation in CLIP for Improved Anatomy Detection on Multi-modal Medical Images
par: Kakkar, Mansi, et autres
Publié: (2024)

Privacy of Groups in Dense Street Imagery
par: Franchi, Matt, et autres
Publié: (2025)

From Global to Local: Rethinking CLIP Feature Aggregation for Person Re-Identification
par: Zheng, Aotian, et autres
Publié: (2026)

ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
par: Nathaniel, Juan, et autres
Publié: (2024)

DeCLIP: Decoupled Prompting for CLIP-based Multi-Label Class-Incremental Learning
par: Du, Kaile, et autres
Publié: (2025)

IPAD-CLIP: Teaching CLIP to Detect Image Local Perceptual Artifacts
par: Wang, Juan, et autres
Publié: (2026)

BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
par: Bai, Jiawang, et autres
Publié: (2023)

Global and Local Entailment Learning for Natural World Imagery
par: Sastry, Srikumar, et autres
Publié: (2025)

From Global to Local: Social Bias Transfer in CLIP
par: Ramos, Ryan, et autres
Publié: (2025)

GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly Detection
par: Ham, Jiyul, et autres
Publié: (2024)

Locating Demographic Bias at the Attention-Head Level in CLIP's Vision Encoder
par: Yasser, Alaa, et autres
Publié: (2026)

CLIP-driven Zero-shot Learning with Ambiguous Labels
par: Fan, Jinfu, et autres
Publié: (2026)

Coverage Biases in High-Resolution Satellite Imagery
par: Musienko, Vadim, et autres
Publié: (2025)

Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response
par: Manzini, Thomas, et autres
Publié: (2025)

An Effective Image Copy-Move Forgery Detection Using Entropy Information
par: Jiang, Li, et autres
Publié: (2023)

Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
par: Jaiswal, Siddharth D, et autres
Publié: (2024)

Micro-AU CLIP: Fine-Grained Contrastive Learning from Local Independence to Global Dependency for Micro-Expression Action Unit Detection
par: Wei, Jinsheng, et autres
Publié: (2026)

FoCLIP: A Feature-Space Misalignment Framework for CLIP-Based Image Manipulation and Detection
par: Chen, Yulin, et autres
Publié: (2025)

Diagnosing Urban Street Vitality via a Visual-Semantic and Spatiotemporal Framework for Street-Level Economics
par: Zhuo, Xinxin, et autres
Publié: (2026)

CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
par: Abdelfattah, Rabab, et autres
Publié: (2023)

CLIP-AE: CLIP-assisted Cross-view Audio-Visual Enhancement for Unsupervised Temporal Action Localization
par: Xia, Rui, et autres
Publié: (2025)

Do Street View Imagery and Public Participation GIS align: Comparative Analysis of Urban Attractiveness
par: Malekzadeh, Milad, et autres
Publié: (2025)

EmoAssist: Emotional Assistant for Visual Impairment Community
par: Qi, Xingyu, et autres
Publié: (2025)

CLIPCleaner: Cleaning Noisy Labels with CLIP
par: Feng, Chen, et autres
Publié: (2024)

Ethical Considerations for the Military Use of Artificial Intelligence in Visual Reconnaissance
par: Anneken, Mathias, et autres
Publié: (2025)

PIXELMOD: Improving Soft Moderation of Visual Misleading Information on Twitter
par: Paudel, Pujan, et autres
Publié: (2024)

CLIP-Loc: Multi-modal Landmark Association for Global Localization in Object-based Maps
par: Matsuzaki, Shigemichi, et autres
Publié: (2024)

A High Resolution Urban and Rural Settlement Map of Africa Using Deep Learning and Satellite Imagery
par: Kakooei, Mohammad, et autres
Publié: (2024)

Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning
par: Brewer, Ethan, et autres
Publié: (2023)

Object Detection and Tracking
par: Pranto, Md, et autres
Publié: (2025)