{"total":46,"rows":[{"id":"2211.03295","title":"MogaNet: Multi-order Gated Aggregation Network","created":"2022-11-07","cited_by_count":59,"area":null},{"id":"2212.00776","title":"ResFormer: Scaling ViTs with Multi-Resolution Training","created":"2022-12-01","cited_by_count":34,"area":null},{"id":"2406.18048","title":"ScanFormer: Referring Expression Comprehension by Iteratively Scanning","created":"2024-06-26","cited_by_count":18,"area":null},{"id":"2310.09163","title":"Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN","created":"2023-10-13","cited_by_count":15,"area":null},{"id":"2205.11397","title":"Super Vision Transformer","created":"2022-05-23","cited_by_count":13,"area":null},{"id":"2305.12354","title":"Bi-ViT: Pushing the Limit of Vision Transformer Quantization","created":"2023-05-21","cited_by_count":13,"area":null},{"id":"2310.15670","title":"Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection","created":"2023-10-24","cited_by_count":13,"area":null},{"id":"2402.00033","title":"LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition","created":"2024-01-08","cited_by_count":13,"area":null},{"id":"2409.11923","title":"Agglomerative Token Clustering","created":"2024-09-18","cited_by_count":13,"area":null},{"id":"2510.18091","title":"Accelerating Vision Transformers with Adaptive Patch Sizes","created":"2025-10-20","cited_by_count":13,"area":null},{"id":"2312.10758","title":"SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation","created":"2023-12-17","cited_by_count":11,"area":null},{"id":"2212.12977","title":"SMMix: Self-Motivated Image Mixing for Vision Transformers","created":"2022-12-26","cited_by_count":8,"area":null},{"id":"2405.02717","title":"AFter: Attention-based Fusion Router for RGBT Tracking","created":"2024-05-04","cited_by_count":7,"area":null},{"id":"2305.09504","title":"Content-Adaptive Downsampling in Convolutional Neural Networks","created":"2023-05-16","cited_by_count":5,"area":null},{"id":"2304.07728","title":"TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation","created":"2023-04-16","cited_by_count":4,"area":null},{"id":"2510.27186","title":"Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications","created":"2025-10-31","cited_by_count":4,"area":null},{"id":"2402.11303","title":"FViT: A Focal Vision Transformer with Gabor Filter","created":"2024-02-17","cited_by_count":3,"area":null},{"id":"2403.01695","title":"DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling","created":"2024-03-04","cited_by_count":3,"area":null},{"id":"2412.16553","title":"Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers","created":"2024-12-21","cited_by_count":3,"area":null},{"id":"2403.18593","title":"Homogeneous Tokenizer Matters: Homogeneous Visual Tokenizer for Remote Sensing Image Understanding","created":"2024-03-27","cited_by_count":2,"area":null},{"id":"2406.17591","title":"DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document Annotation","created":"2024-06-25","cited_by_count":2,"area":null},{"id":"2505.03113","title":"Image Recognition with Online Lightweight Vision Transformer: A Survey","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2511.19021","title":"Dynamic Granularity Matters: Rethinking Vision Transformers Beyond Fixed Patch Splitting","created":"2025-11-24","cited_by_count":2,"area":null},{"id":"2310.06629","title":"EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention","created":"2023-10-10","cited_by_count":1,"area":null},{"id":"2403.04066","title":"LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition","created":"2024-03-06","cited_by_count":1,"area":null},{"id":"2503.00060","title":"SAC-ViT: Semantic-Aware Clustering Vision Transformer with Early Exit","created":"2025-02-27","cited_by_count":1,"area":null},{"id":"2505.23317","title":"CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2510.01559","title":"Consistent Assistant Domains Transformer for Source-free Domain Adaptation","created":"2025-10-02","cited_by_count":1,"area":null},{"id":"2606.18231","title":"Adaptive Volumetric Mechanical Property Fields Invariant to Resolution","created":"2026-06-16","cited_by_count":1,"area":null},{"id":"2306.01929","title":"Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work","created":"2023-06-02","cited_by_count":0,"area":null},{"id":"2412.16491","title":"ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition","created":"2024-12-21","cited_by_count":0,"area":null},{"id":"2505.04850","title":"ORXE: Orchestrating Experts for Dynamically Configurable Efficiency","created":"2025-05-07","cited_by_count":0,"area":null},{"id":"2506.05672","title":"Contextually Guided Transformers via Low-Rank Adaptation","created":"2025-06-06","cited_by_count":0,"area":null},{"id":"2506.14596","title":"PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose Estimation","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2507.01791","title":"Boosting Adversarial Transferability Against Defenses via Multi-Scale Transformation","created":"2025-07-02","cited_by_count":0,"area":null},{"id":"2511.19062","title":"Granular Computing-driven SAM: From Coarse-to-Fine Guidance for Prompt-Free Segmentation","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2511.21202","title":"Towards an Effective Action-Region Tracking Framework for Fine-grained Video Action Recognition","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2512.00293","title":"FiCoTS: Fine-to-Coarse LLM-Enhanced Hierarchical Cross-Modality Interaction for Time Series Forecasting","created":"2025-11-29","cited_by_count":0,"area":null},{"id":"2602.24159","title":"RAViT: Resolution-Adaptive Vision Transformer","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2603.09613","title":"A Saccade-inspired Approach to Image Classification using Vision Transformer Attention Maps","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2603.09955","title":"From Semantics to Pixels: Coarse-to-Fine Masked Autoencoders for Hierarchical Visual Understanding","created":"2026-03-10","cited_by_count":0,"area":null},{"id":"2604.15622","title":"AdaDINO: Context-Adaptive DINO-Distilled Vision Foundation Models for Efficient Open-Vocabulary Edge Inference","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2606.04366","title":"MeshTok: Efficient Multi-Scale Tokenization for Scalable PDE Transformers","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2608.28706","title":"Variable-Granularity Tokenization for High-Resolution Object Detection","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.03216","title":"ProgResViT: Progressive Resolution and Width for Adaptive Vision Transformers","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.18578","title":"Learning Where to Focus: Self-Supervised Multi-Scale ViTs for Histopathology","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}