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← Architectures
Deep Learning
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Architectures
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Transformers
9,294 papers
Papers per year
2011: 1
2014: 2
2015: 6
2016: 17
2017: 67
2018: 156
2019: 404
2020: 769
2021: 1217
2022: 1446
2023: 1628
2024: 1574
2025: 1647
2026: 360
Papers
Relational Embedding for Few-Shot Classification
ICCV 2021
BossNAS: Exploring Hybrid CNN-Transformers With Block-Wisely Self-Supervised Neural Architecture Search
ICCV 2021
High-Performance Discriminative Tracking With Transformers
ICCV 2021
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement
ICCV 2021
Conformer: Local Features Coupling Global Representations for Visual Recognition
ICCV 2021
Image Harmonization With Transformer
ICCV 2021
Visio-Temporal Attention for Multi-Camera Multi-Target Association
ICCV 2021
Visual Relationship Detection Using Part-and-Sum Transformers With Composite Queries
ICCV 2021
LayoutTransformer: Layout Generation and Completion With Self-Attention
ICCV 2021
Segmenter: Transformer for Semantic Segmentation
ICCV 2021
TransForensics: Image Forgery Localization With Dense Self-Attention
ICCV 2021
CTRL-C: Camera Calibration TRansformer With Line-Classification
ICCV 2021
Mesh Graphormer
ICCV 2021
TransFER: Learning Relation-Aware Facial Expression Representations With Transformers
ICCV 2021
AutoFormer: Searching Transformers for Visual Recognition
ICCV 2021
Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion
ICCV 2021
Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism
ICCV 2021
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images
ICCV 2021
Emerging Properties in Self-Supervised Vision Transformers
ICCV 2021
Pyramid Point Cloud Transformer for Large-Scale Place Recognition
ICCV 2021
Scalable Vision Transformers With Hierarchical Pooling
ICCV 2021
The Animation Transformer: Visual Correspondence via Segment Matching
ICCV 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
ICCV 2021
Space-Time Crop & Attend: Improving Cross-Modal Video Representation Learning
ICCV 2021
Visual Transformers: Where Do Transformers Really Belong in Vision Models?
ICCV 2021
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