{"total":18,"rows":[{"id":"2204.12484","title":"ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation","created":"2022-04-26","cited_by_count":456,"area":null},{"id":"2204.03645","title":"DaViT: Dual Attention Vision Transformers","created":"2022-04-07","cited_by_count":175,"area":null},{"id":"2206.10589","title":"EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications","created":"2022-06-21","cited_by_count":121,"area":null},{"id":"2212.04246","title":"ViTPose++: Vision Transformer for Generic Body Pose Estimation","created":"2022-12-07","cited_by_count":65,"area":null},{"id":"2303.08685","title":"Making Vision Transformers Efficient from A Token Sparsification View","created":"2023-03-15","cited_by_count":29,"area":null},{"id":"2309.08513","title":"SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels","created":"2023-09-15","cited_by_count":20,"area":null},{"id":"2210.11909","title":"Boosting vision transformers for image retrieval","created":"2022-10-21","cited_by_count":19,"area":null},{"id":"2308.02620","title":"Frequency Disentangled Features in Neural Image Compression","created":"2023-08-04","cited_by_count":14,"area":null},{"id":"2304.03282","title":"Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention","created":"2023-04-06","cited_by_count":12,"area":null},{"id":"2302.01925","title":"Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers","created":"2023-02-03","cited_by_count":10,"area":null},{"id":"2303.07910","title":"Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm","created":"2023-03-14","cited_by_count":5,"area":null},{"id":"2208.12257","title":"Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling","created":"2022-08-25","cited_by_count":3,"area":null},{"id":"2209.15006","title":"Effective Vision Transformer Training: A Data-Centric Perspective","created":"2022-09-29","cited_by_count":3,"area":null},{"id":"2408.08567","title":"S$^3$Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching","created":"2024-08-16","cited_by_count":2,"area":null},{"id":"2208.08900","title":"Conviformers: Convolutionally guided Vision Transformer","created":"2022-08-17","cited_by_count":1,"area":null},{"id":"2212.10197","title":"EIT: Enhanced Interactive Transformer","created":"2022-12-20","cited_by_count":1,"area":null},{"id":"2306.14650","title":"PhD Thesis: Exploring the role of (self-)attention in cognitive and computer vision architecture","created":"2023-06-26","cited_by_count":0,"area":null},{"id":"2504.16097","title":"A CNN-based Local-Global Self-Attention via Averaged Window Embeddings for Hierarchical ECG Analysis","created":"2025-04-13","cited_by_count":0,"area":null}],"next_cursor":null}