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

Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment AAAI 2025

Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers WACV 2025

MambaOut: Do We Really Need Mamba for Vision? CVPR 2025

Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation WACV 2025

PVTNL: Prompting Vision Transformers with Natural Language for Generalizable Person Re-identification EMNLP 2025

Attention to the Burstiness in Visual Prompt Tuning! ICCV 2025

Rethinking Low-Rank Adaptation in Vision: Exploring Head-Level Responsiveness Across Diverse Tasks WACV 2025

QuantAttack: Exploiting Quantization Techniques to Attack Vision Transformers WACV 2025

OT-VP: Optimal Transport-Guided Visual Prompting for Test-Time Adaptation WACV 2025

DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention CVPR 2025

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI 2025

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

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation WACV 2025

Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders CVPR 2025

LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025

MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining CVPR 2025

FastVLM: Efficient Vision Encoding for Vision Language Models CVPR 2025

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers AAAI 2025

Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks CVPR 2025

EZSR: Event-based Zero-Shot Recognition CVPR 2025

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis CVPR 2025

Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP WACV 2025

Less Attention is More: Prompt Transformer for Generalized Category Discovery CVPR 2025

Spectral State Space Model for Rotation-Invariant Visual Representation Learning CVPR 2025

BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment CVPR 2025