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

MuSASplat: Efficient Sparse-View 3D Gaussian Splats via Lightweight Multi-Scale Adaptation AAAI 2026

Collaborative Transformers with Multi-Level Forensic Attention for Image Manipulation Localization AAAI 2026

SinBasis Networks: Matrix-Equivalent Feature Extraction for Wave-Like Optical Spectrograms AAAI 2026

EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation AAAI 2026

WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation AAAI 2026

AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals AAAI 2026

Fast 3D Surrogate Modeling for Data Center Thermal Management AAAI 2026

WingBeats and Snapshots: Fusing Sound and Vision for Mosquito Monitoring (Student Abstract) AAAI 2026

Shortcut Learning Susceptibility in Vision Classifiers (Student Abstract) AAAI 2026

V-Pruner: A Fast and Globally-informed Token Pruning Framework for Vision Transformer AAAI 2026

BornoDrishti: Leveraging Vision Encoders and Domain-Adaptive Learning for Bangla OCR on Diverse Documents EACL 2026

ART: Attention-Regularized Transformers for Multi-Modal Robustness EACL 2026

FastPose-ViT: A Vision Transformer for Real-Time Spacecraft Pose Estimation WACV 2026

Automated Suturing Skill Assessment in Robot-assisted Surgery from Endoscopic Videos using Clinically-guided Evaluation Criteria WACV 2026

Diffusion-Based Action Recognition Generalizes to Untrained Domains WACV 2026

A Universal Self-Attention Enhancement for Bridging Low-bit Quantization and Vision Transformers WACV 2026

Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification WACV 2026

IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers WACV 2026

AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images AAAI 2025

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling AAAI 2025

SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks AAAI 2025

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

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

Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers AAAI 2025

Large-Scale School Mapping Using Weakly Supervised Deep Learning for Universal School Connectivity AAAI 2025