{"total":25,"rows":[{"id":"2403.17881","title":"Deepfake Generation and Detection: A Benchmark and Survey","created":"2024-03-26","cited_by_count":67,"area":null},{"id":"2311.00453","title":"CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection","created":"2023-11-01","cited_by_count":58,"area":null},{"id":"2209.09554","title":"Towards Robust Referring Image Segmentation","created":"2022-09-20","cited_by_count":49,"area":null},{"id":"2312.07495","title":"Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection","created":"2023-12-12","cited_by_count":47,"area":null},{"id":"2301.01146","title":"Rethinking Mobile Block for Efficient Attention-based Models","created":"2023-01-03","cited_by_count":36,"area":null},{"id":"2301.00954","title":"PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation","created":"2023-01-03","cited_by_count":19,"area":null},{"id":"2404.10760","title":"Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark","created":"2024-04-16","cited_by_count":16,"area":null},{"id":"2304.11787","title":"B2Opt: Learning to Optimize Black-box Optimization with Little Budget","created":"2023-04-24","cited_by_count":15,"area":null},{"id":"2301.01156","title":"Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation","created":"2023-01-03","cited_by_count":12,"area":null},{"id":"2307.16377","title":"JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery","created":"2023-07-31","cited_by_count":12,"area":null},{"id":"2408.03703","title":"CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications","created":"2024-08-07","cited_by_count":12,"area":null},{"id":"2308.00574","title":"PVG: Progressive Vision Graph for Vision Recognition","created":"2023-08-01","cited_by_count":10,"area":null},{"id":"2309.03575","title":"Toward High Quality Facial Representation Learning","created":"2023-09-07","cited_by_count":10,"area":null},{"id":"2304.03542","title":"Better \"CMOS\" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution","created":"2023-04-07","cited_by_count":7,"area":null},{"id":"2406.03262","title":"A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection","created":"2024-06-05","cited_by_count":7,"area":null},{"id":"2305.11676","title":"Learning Global-aware Kernel for Image Harmonization","created":"2023-05-19","cited_by_count":4,"area":null},{"id":"2505.15325","title":"SoftHGNN: Soft Hypergraph Neural Networks for General Visual Recognition","created":"2025-05-21","cited_by_count":4,"area":null},{"id":"2307.12392","title":"Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision","created":"2023-07-23","cited_by_count":3,"area":null},{"id":"2409.07995","title":"Depth Matters: Exploring Deep Interactions of RGB-D for Semantic Segmentation in Traffic Scenes","created":"2024-09-12","cited_by_count":3,"area":null},{"id":"2506.20381","title":"Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual Tracking","created":"2025-06-25","cited_by_count":3,"area":null},{"id":"2212.08330","title":"Convolution-enhanced Evolving Attention Networks","created":"2022-12-16","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":"2403.13167","title":"Improved EATFormer: A Vision Transformer for Medical Image Classification","created":"2024-03-19","cited_by_count":1,"area":null},{"id":"2506.07705","title":"Adaptive Blind Super-Resolution Network for Spatial-Specific and Spatial-Agnostic Degradations","created":"2025-06-09","cited_by_count":1,"area":null},{"id":"2404.19066","title":"Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers","created":"2024-04-29","cited_by_count":0,"area":null}],"next_cursor":null}