:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Vashkevich, Maxim, Krivalcevich, Egor
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning 68T07 I.5.1
Online Access:	https://arxiv.org/abs/2505.06578
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ViTNF: Leveraging Neural Fields to Boost Vision Transformers in Generalized Category Discovery
by: Su, Jiayi, et al.
Published: (2025)

Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning
by: Aparco-Cardenas, David, et al.
Published: (2025)

Understanding Generalization, Robustness, and Interpretability in Low-Capacity Neural Networks
by: Kumar, Yash
Published: (2025)

Neural Encoding for Image Recall: Human-Like Memory
by: Foussereau, Virgile, et al.
Published: (2024)

Optimized Gradient Clipping for Noisy Label Learning
by: Ye, Xichen, et al.
Published: (2024)

The Normalized Difference Layer: A Differentiable Spectral Index Formulation for Deep Learning
by: Lotfi, Ali, et al.
Published: (2026)

Kolmogorov-Arnold Attention: Is Learnable Attention Better For Vision Transformers?
by: Maity, Subhajit, et al.
Published: (2025)

Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers
by: Nauen, Tobias Christian, et al.
Published: (2023)

Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
by: Mahi, Ishrak Hamim, et al.
Published: (2026)

TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
by: Sajjadi, Arash, et al.
Published: (2025)

StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation
by: Merugu, Ranjith, et al.
Published: (2025)

Towards understanding how attention mechanism works in deep learning
by: Ruan, Tianyu, et al.
Published: (2024)

Predictive Modeling of Maritime Radar Data Using Transformer Architecture
by: Qesaraku, Bjorna, et al.
Published: (2025)

Divergence-Based Similarity Function for Multi-View Contrastive Learning
by: Jeon, Jae Hyoung, et al.
Published: (2025)

Cross-Architecture Knowledge Distillation (KD) for Retinal Fundus Image Anomaly Detection on NVIDIA Jetson Nano
by: Yilmaz, Berk, et al.
Published: (2025)

Leveraging large multimodal models for audio-video deepfake detection: a pilot study
by: Cao, Songjun, et al.
Published: (2026)

Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network
by: Bao, Yin-Yin, et al.
Published: (2024)

Archival Faces: Detection of Faces in Digitized Historical Documents
by: Vaško, Marek, et al.
Published: (2025)

Objaverse++: Curated 3D Object Dataset with Quality Annotations
by: Lin, Chendi, et al.
Published: (2025)

Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
by: Cao, Bryan Bo, et al.
Published: (2024)

Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis
by: Korolkov, Vasilii
Published: (2025)

Optimizing Inference in Transformer-Based Models: A Multi-Method Benchmark
by: Ho, Siu Hang, et al.
Published: (2025)

A deep learning approach to track eye movements based on events
by: Seth, Chirag, et al.
Published: (2025)

Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape Anomaly Detection
by: Kang, Xueyang, et al.
Published: (2026)

Automatic Detection of Intro and Credits in Video using CLIP and Multihead Attention
by: Korolkov, Vasilii, et al.
Published: (2025)

Digital implementations of deep feature extractors are intrinsically informative
by: Getter, Max
Published: (2025)

A generalised novel loss function for computational fluid dynamics
by: Cooper-Baldock, Zachary, et al.
Published: (2024)

Explicit Dropout: Deterministic Regularization for Transformer Architectures
by: Agrawal, Vidhi, et al.
Published: (2026)

CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer
by: Kang, Ming, et al.
Published: (2023)

Swish-T : Enhancing Swish Activation with Tanh Bias for Improved Neural Network Performance
by: Seo, Youngmin, et al.
Published: (2024)

Solving Oscillator Ordinary Differential Equations in the Time Domain with High Performance via Soft-constrained Physics-informed Neural Network with Small Data
by: Lu, Kai-liang
Published: (2024)

WildfireVLM: AI-powered Analysis for Early Wildfire Detection and Risk Assessment Using Satellite Imagery
by: Ayanzadeh, Aydin, et al.
Published: (2026)

HOSC: A Periodic Activation with Saturation Control for High-Fidelity Implicit Neural Representations
by: Wlodarczyk, Michal Jan, et al.
Published: (2026)

DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
by: Shen, Hongyu, et al.
Published: (2024)

RoNFA: Robust Neural Field-based Approach for Few-Shot Image Classification with Noisy Labels
by: Xiang, Nan, et al.
Published: (2025)

CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
by: Mukherjee, Debdeep, et al.
Published: (2025)

CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation
by: Kang, Ming, et al.
Published: (2024)

Rethinking Visual Intelligence: Insights from Video Pretraining
by: Acuaviva, Pablo, et al.
Published: (2025)

Massive Redundancy in Gradient Transport Enables Sparse Online Learning
by: Merin, Aur Shalev
Published: (2026)

YOLOv10 with Kolmogorov-Arnold networks and vision-language foundation models for interpretable object detection and trustworthy multimodal AI in computer vision perception
by: Impraimakis, Marios, et al.
Published: (2026)