"vision transformer" Papers

A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention

Qiyu Xu, Zhanxuan Hu, Yu Duan et al.

Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT

Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron et al.

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

Han Wang, Shengyang Li, Jian Yang et al.

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Alexey Bochkovskiy, Amaël Delaunoy, Hugo Germain et al.

Efficient Concertormer for Image Deblurring and Beyond

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

EMPLACE: Self-Supervised Urban Scene Change Detection

Tim Alpherts, Sennay Ghebreab, Nanne van Noord

Enhancing Vision-Language Model with Unmasked Token Alignment

Hongsheng Li, Jihao Liu, Boxiao Liu et al.

EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation

Hongwei Niu, Jie Hu, Jianghang Lin et al.

FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning

Gaojian Wang, Feng Lin, Tong Wu et al.

GSPN-2: Efficient Parallel Sequence Modeling

Hongjun Wang, yitong jiang, Collin McCarthy et al.

Hybrid Spiking Vision Transformer for Object Detection with Event Cameras

Qi Xu, Jie Deng, Jiangrong Shen et al.

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

Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens

Qihang Fan, Huaibo Huang, Mingrui Chen et al.

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation

Haoyi Zhu, Honghui Yang, Yating Wang et al.

Sparse autoencoders reveal selective remapping of visual concepts during adaptation

Hyesu Lim, Jinho Choi, Jaegul Choo et al.

TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning

Seungmin Baek, Soyul Lee, Hayeon Jo et al.

VITRIX-UniViTAR: Unified Vision Transformer with Native Resolution

Limeng Qiao, Yiyang Gan, Bairui 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

CLIP-KD: An Empirical Study of CLIP Model Distillation

Chuanguang Yang, Zhulin An, Libo Huang et al.

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.

HEAL-SWIN: A Vision Transformer On The Sphere

Oscar Carlsson, Jan E. Gerken, Hampus Linander et al.

IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception

Shaohong Wang, Lu Bin, Xinyu Xiao 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.

Learning with Unmasked Tokens Drives Stronger Vision Learners

Taekyung Kim, Sanghyuk Chun, Byeongho Heo et al.

Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification

Pingping Zhang, Yuhao Wang, Yang Liu 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.

MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks

Sanbao Su, Xin Li, Thang Doan 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.

Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning

Shiming Chen, Wenjin Hou, Salman Khan et al.

Question Aware Vision Transformer for Multimodal Reasoning

Roy Ganz, Yair Kittenplon, Aviad Aberdam 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

SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design

Seokju Yun, Youngmin Ro

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.

Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention

Xingyu Zhou, Leheng Zhang, Xiaorui Zhao 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.