:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ugwu, C. I., Casarin, S., Lanz, O.
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2405.06980
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion
by: Casarin, Sofia, et al.
Published: (2024)

L-SWAG: Layer-Sample Wise Activation with Gradients information for Zero-Shot NAS on Vision Transformers
by: Casarin, Sofia, et al.
Published: (2025)

GRASP-GCN: Graph-Shape Prioritization for Neural Architecture Search under Distribution Shifts
by: Casarin, Sofia, et al.
Published: (2024)

Pre-training for Action Recognition with Automatically Generated Fractal Datasets
by: Svyezhentsev, Davyd, et al.
Published: (2024)

Action-Guided Attention for Video Action Anticipation
by: Tai, Tsung-Ming, et al.
Published: (2026)

Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
by: Tang, Canhui, et al.
Published: (2024)

FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks
by: Wang, Tianyi, et al.
Published: (2025)

Sparse Reasoning is Enough: Biological-Inspired Framework for Video Anomaly Detection with Large Pre-trained Models
by: Huang, He, et al.
Published: (2025)

Dataset Ownership Verification for Pre-trained Masked Models
by: Xie, Yuechen, et al.
Published: (2025)

Promptable Fire Segmentation: Unleashing SAM2's Potential for Real-Time Mobile Deployment with Strategic Bounding Box Guidance
by: Ugwu, Emmanuel U., et al.
Published: (2025)

Effect of Rotation Angle in Self-Supervised Pre-training is Dataset-Dependent
by: Saranchuk, Amy, et al.
Published: (2024)

Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise Performance
by: Ezuma, Ifeanyi, et al.
Published: (2026)

IPAD: Industrial Process Anomaly Detection Dataset
by: Liu, Jinfan, et al.
Published: (2024)

Disentangled Pre-training for Human-Object Interaction Detection
by: Li, Zhuolong, et al.
Published: (2024)

Gate-Shift-Pose: Enhancing Action Recognition in Sports with Skeleton Information
by: Bianchi, Edoardo, et al.
Published: (2025)

Dataset Distillation for Super-Resolution without Class Labels and Pre-trained Models
by: Cho, Sunwoo, et al.
Published: (2025)

Long-term Pre-training for Temporal Action Detection with Transformers
by: Kim, Jihwan, et al.
Published: (2024)

Anomaly Detection by Adapting a pre-trained Vision Language Model
by: Cai, Yuxuan, et al.
Published: (2024)

Progressive Local Alignment for Medical Multimodal Pre-training
by: Yan, Huimin, et al.
Published: (2025)

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning
by: Liu, Jiarun, et al.
Published: (2024)

Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
by: Wang, Shumin, et al.
Published: (2025)

Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection
by: Zhou, Yinchi, et al.
Published: (2024)

Context-aware Video Anomaly Detection in Long-Term Datasets
by: Yang, Zhengye, et al.
Published: (2024)

A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
by: Chen, Qiyu, et al.
Published: (2024)

Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection
by: Zhang, Yinghe, et al.
Published: (2025)

UMAD: University of Macau Anomaly Detection Benchmark Dataset
by: Li, Dong, et al.
Published: (2024)

MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection
by: Huang, Ziyue, et al.
Published: (2024)

PatchContrast: Self-Supervised Pre-training for 3D Object Detection
by: Shrout, Oren, et al.
Published: (2023)

A Multimodal Pre-trained Network for Integrated EEG-Video Seizure Detection
by: Lu, Tong, et al.
Published: (2026)

RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection
by: Cheng, Yuqi, et al.
Published: (2024)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
by: Li, Hanxi, et al.
Published: (2024)

The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection
by: Heckler-Kram, Lars, et al.
Published: (2025)

Reasoning-Driven Anomaly Detection and Localization with Image-Level Supervision
by: Jin, Yizhou, et al.
Published: (2026)

Multi-Cue Anomaly Detection and Localization under Data Contamination
by: Das, Anindya Sundar, et al.
Published: (2026)

PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning
by: Liu, Xuntao, et al.
Published: (2024)

Dataset Ownership Verification in Contrastive Pre-trained Models
by: Xie, Yuechen, et al.
Published: (2025)

AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization
by: Zhao, Ying
Published: (2024)

Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer
by: Luo, Anwei, et al.
Published: (2023)

Industrial Synthetic Segment Pre-training
by: Mae, Shinichi, et al.
Published: (2025)

Pre-training of Lightweight Vision Transformers on Small Datasets with Minimally Scaled Images
by: Tan, Jen Hong
Published: (2024)