vision transformer

1091 papers

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Also known as

VITE VIT CLIP-VIT VT

Co-occurring keywords

image classification (1943) semantic segmentation (3179) model compression (3283) self-supervised learning (3751) attention mechanism (3975) convolutional neural network (4216) object detection (2759) transfer learning (5442) representation learning (6174) knowledge distillation (3680)

Papers

Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation ICCV 2025

Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath Prediction ICCV 2025

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers ICCV 2025

MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge ICCV 2025

Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation ICCV 2025

Cross-modal Ship Re-Identification via Optical and SAR Imagery: A Novel Dataset and Method ICCV 2025

ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models ICCV 2025

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers ICCV 2025

Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation ICCV 2025

Token Cropr: Faster ViTs for Quite a Few Tasks CVPR 2025

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads ICCV 2025

An Efficient Hybrid Vision Transformer for TinyML Applications ICCV 2025

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025

Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features ICCV 2025

MVAD: A Multiple Visual Artifact Detector for Video Streaming WACV 2025

Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning CVPR 2025

On Which Data Distribution (Synthetic or Real) We Should Rely for Soft Biometric Classification WACV 2025

CCASeg: Decoding Multi-Scale Context with Convolutional Cross-Attention for Semantic Segmentation WACV 2025

Channel Propagation Networks for Refreshable Vision Transformer WACV 2025

U-MixFormer: UNet-Like Transformer with Mix-Attention for Efficient Semantic Segmentation WACV 2025

Image Adaptation for Colour Vision Deficient Viewers using Vision Transformers WACV 2025

When Visual State Space Model Meets Backdoor Attacks WACV 2025

UMUTeam at SemEval-2025 Task 1: Leveraging Multimodal and Large Language Model for Identifying and Ranking Idiomatic Expressions SEMEVAL 2025

DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers using MRI and PET WACV 2025

ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers IJCAI 2025