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patch embedding

25 papers

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vision transformer (10) image classification (7) object detection (3) computer vision (3) few-shot learning (3) self-supervised representation learning (2) graph neural network (2) metric learning (2) semantic segmentation (2) multi-scale feature (1)

Papers

Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance Approach CVPR 2026 From Few-Shot to Zero-Shot Pallet Load Recognition: A Deployed Embedding-Based Vision System for Industrial Logistics WACV 2026 Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers WACV 2025 Breaking the Frame: Visual Place Recognition by Overlap Prediction WACV 2025 Explaining ViTs Using Information Flow AISTATS 2025 Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings ACL 2025 WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting AAAI 2025 Learning to Embed Time Series Patches Independently ICLR 2024 MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution NeurIPS 2024 Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models ICML 2024 Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types WACV 2023 Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification ICCV 2023 HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer ICLR 2023 Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation AAAI 2023 PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification ICCV 2023 SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning ICCV 2023 Text Rendering Strategies for Pixel Language Models EMNLP 2023 Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching ICLR 2023 ViT-CX: Causal Explanation of Vision Transformers IJCAI 2023 Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets NeurIPS 2022 Vision GNN: An Image is Worth Graph of Nodes NeurIPS 2022 An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale ICLR 2021 Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval From a Single Image ICCV 2021 Transformer in Transformer NeurIPS 2021 TransReID: Transformer-Based Object Re-Identification ICCV 2021