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

Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers NIPS 2024

Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer IJCAI 2024

Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention AAAI 2024

BoQ: A Place is Worth a Bag of Learnable Queries CVPR 2024

VMFormer: End-to-End Video Matting With Transformer WACV 2024

SuteAlbastre at SemEval-2024 Task 4: Predicting Propaganda Techniques in Multilingual Memes using Joint Text and Vision Transformers NAACL 2024

ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation CVPR 2024

nowhash at SemEval-2024 Task 4: Exploiting Fusion of Transformers for Detecting Persuasion Techniques in Multilingual Memes NAACL 2024

EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing COLING 2024

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything CVPR 2024

Grafting Vision Transformers WACV 2024

Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024

Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NIPS 2024

LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation IJCAI 2024

Occluded Person Re-identification via Saliency-Guided Patch Transfer AAAI 2024

SimA: Simple Softmax-Free Attention for Vision Transformers WACV 2024

AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NIPS 2024

Revisiting Token Pruning for Object Detection and Instance Segmentation WACV 2024

MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer AAAI 2024

Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model NIPS 2024

Reverse Knowledge Distillation: Training a Large Model Using a Small One for Retinal Image Matching on Limited Data WACV 2024

Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection AAAI 2024

MobileInst: Video Instance Segmentation on the Mobile AAAI 2024

Adapting Short-Term Transformers for Action Detection in Untrimmed Videos CVPR 2024

Instance-Aware Group Quantization for Vision Transformers CVPR 2024