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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

MULLER: Multilayer Laplacian Resizer for Vision ICCV 2023
Exemplar-Free Continual Transformer with Convolutions ICCV 2023
Scalable Video Object Segmentation with Simplified Framework ICCV 2023
BUS: Efficient and Effective Vision-Language Pre-Training with Bottom-Up Patch Summarization. ICCV 2023
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow ICCV 2023
Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients ICCV 2023
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective ICCV 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer AAAI 2023
Hybrid CNN-Transformer Feature Fusion for Single Image Deraining AAAI 2023
Quantifying Character Similarity with Vision Transformers EMNLP 2023
Top-Down Visual Attention From Analysis by Synthesis CVPR 2023
Dynamic Inference With Grounding Based Vision and Language Models CVPR 2023
Omni Aggregation Networks for Lightweight Image Super-Resolution CVPR 2023
Co-Training 2L Submodels for Visual Recognition CVPR 2023
Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images CVPR 2023
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale CVPR 2023
All in One: Exploring Unified Video-Language Pre-Training CVPR 2023
Affordance Grounding From Demonstration Video To Target Image CVPR 2023
A Light Touch Approach to Teaching Transformers Multi-View Geometry CVPR 2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training CVPR 2023
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning CVPR 2023
Efficient Activation Function Optimization through Surrogate Modeling NIPS 2023
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models NIPS 2023
Efficient Low-rank Backpropagation for Vision Transformer Adaptation NIPS 2023
Batchnorm Allows Unsupervised Radial Attacks NIPS 2023