"vision transformer" Papers

Efficient Concertormer for Image Deblurring and Beyond

Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien et al.

On the Role of Hidden States of Modern Hopfield Network in Transformer

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation

Haoyi Zhu, Honghui Yang, Yating Wang et al.

Agglomerative Token Clustering

Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor et al.

Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention

Saebom Leem, Hyunseok Seo

ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy

Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu

Data-free Neural Representation Compression with Riemannian Neural Dynamics

Zhengqi Pei, Anran Zhang, Shuhui Wang et al.

Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module

Yixing Xu, Chao Li, Dong Li et al.

FairViT: Fair Vision Transformer via Adaptive Masking

Bowei Tian, Ruijie Du, Yanning Shen

FiT: Flexible Vision Transformer for Diffusion Model

Zeyu Lu, ZiDong Wang, Di Huang et al.

GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer

Ding Jia, Jianyuan Guo, Kai Han et al.

Information Flow in Self-Supervised Learning

Zhiquan Tan, Jingqin Yang, Weiran Huang et al.

Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking

Yongxin Li, Mengyuan Liu, You Wu et al.

MedSegDiff-V2: Diffusion-based Medical Image Segmentation with Transformer

Junde Wu, Wei Ji, Huazhu Fu et al.

Memory Consolidation Enables Long-Context Video Understanding

Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi et al.

One-stage Prompt-based Continual Learning

Youngeun Kim, YUHANG LI, Priyadarshini Panda

Outlier-aware Slicing for Post-Training Quantization in Vision Transformer

Yuexiao Ma, Huixia Li, Xiawu Zheng et al.

Rejuvenating image-GPT as Strong Visual Representation Learners

Sucheng Ren, Zeyu Wang, Hongru Zhu et al.

S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention

Chiyu Zhang, Xiaogang Xu, Lei Wang et al.

Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning

Kaiyou Song, Shan Zhang, Tong Wang

SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning

Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara

Statistical Test for Attention Maps in Vision Transformers

Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka et al.

Stochastic positional embeddings improve masked image modeling

Amir Bar, Florian Bordes, Assaf Shocher et al.

ViP: A Differentially Private Foundation Model for Computer Vision

Yaodong Yu, Maziar Sanjabi, Yi Ma et al.

Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting

Zhicheng Wang, Liwen Xiao, Zhiguo Cao et al.

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

Lin Chen, Zhijie Jia, Lechao Cheng et al.

When Will Gradient Regularization Be Harmful?

Yang Zhao, Hao Zhang, Xiuyuan Hu