{"list":"other","total":60,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1709.01507","title":"Squeeze-and-Excitation Networks","created":"2017-09-05","cited_by_count":4789},{"id":"1807.06521","title":"CBAM: Convolutional Block Attention Module","created":"2018-07-17","cited_by_count":2477},{"id":"1904.08405","title":"Event-based Vision: A Survey","created":"2019-04-17","cited_by_count":1016},{"id":"2112.09106","title":"RegionCLIP: Region-based Language-Image Pretraining","created":"2021-12-16","cited_by_count":616},{"id":"1910.03151","title":"ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks","created":"2019-10-08","cited_by_count":575},{"id":"2401.17270","title":"YOLO-World: Real-Time Open-Vocabulary Object Detection","created":"2024-01-30","cited_by_count":503},{"id":"1906.07165","title":"High Speed and High Dynamic Range Video with an Event Camera","created":"2019-06-15","cited_by_count":345},{"id":"2103.06011","title":"DSEC: A Stereo Event Camera Dataset for Driving Scenarios","created":"2021-03-10","cited_by_count":303},{"id":"2203.04838","title":"CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers","created":"2022-03-09","cited_by_count":231},{"id":"1803.07913","title":"HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification","created":"2018-03-21","cited_by_count":218},{"id":"1804.01310","title":"Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars","created":"2018-04-04","cited_by_count":200},{"id":"1903.06530","title":"Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection","created":"2019-03-12","cited_by_count":177},{"id":"2306.15880","title":"Towards Open Vocabulary Learning: A Survey","created":"2023-06-28","cited_by_count":166},{"id":"2212.05598","title":"Recurrent Vision Transformers for Object Detection with Event Cameras","created":"2022-12-11","cited_by_count":159},{"id":"2209.15639","title":"F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models","created":"2022-09-30","cited_by_count":150},{"id":"2203.16513","title":"PromptDet: Towards Open-vocabulary Detection using Uncurated Images","created":"2022-03-30","cited_by_count":133},{"id":"2007.09183","title":"Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation","created":"2020-07-17","cited_by_count":122},{"id":"2112.00167","title":"Event-Based Fusion for Motion Deblurring with Cross-modal Attention","created":"2021-11-30","cited_by_count":113},{"id":"2001.08499","title":"A Large Scale Event-based Detection Dataset for Automotive","created":"2020-01-23","cited_by_count":109},{"id":"2003.09148","title":"Event-based Asynchronous Sparse Convolutional Networks","created":"2020-03-20","cited_by_count":104},{"id":"2404.03663","title":"Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips","created":"2024-02-15","cited_by_count":103},{"id":"1811.08230","title":"Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks","created":"2018-11-20","cited_by_count":97},{"id":"2102.09320","title":"Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction","created":"2021-02-18","cited_by_count":90},{"id":"2205.04339","title":"Object Detection with Spiking Neural Networks on Automotive Event Data","created":"2022-05-09","cited_by_count":80},{"id":"2307.11411","title":"Deep Directly-Trained Spiking Neural Networks for Object Detection","created":"2023-07-21","cited_by_count":77},{"id":"2108.08162","title":"Specificity-preserving RGB-D Saliency Detection","created":"2021-08-18","cited_by_count":70},{"id":"2307.09220","title":"A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future","created":"2023-07-18","cited_by_count":61},{"id":"2201.10943","title":"Event-based Video Reconstruction via Potential-assisted Spiking Neural Network","created":"2022-01-25","cited_by_count":59},{"id":"2507.02939","title":"Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting","created":"2025-06-27","cited_by_count":55},{"id":"2304.13455","title":"From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection","created":"2023-04-26","cited_by_count":52},{"id":"2308.14419","title":"Graph-based Asynchronous Event Processing for Rapid Object Recognition","created":"2023-08-28","cited_by_count":51},{"id":"2305.19868","title":"Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN","created":"2023-05-31","cited_by_count":46},{"id":"2301.09506","title":"OvarNet: Towards Open-vocabulary Object Attribute Recognition","created":"2023-01-23","cited_by_count":43},{"id":"2305.15688","title":"Frame-Event Alignment and Fusion Network for High Frame Rate Tracking","created":"2023-05-25","cited_by_count":43},{"id":"2209.08323","title":"RGB-Event Fusion for Moving Object Detection in Autonomous Driving","created":"2022-09-17","cited_by_count":40},{"id":"2404.08928","title":"DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector","created":"2024-04-13","cited_by_count":39},{"id":"2306.06354","title":"EventCLIP: Adapting CLIP for Event-based Object Recognition","created":"2023-06-10","cited_by_count":36},{"id":"2211.14731","title":"BALF: Simple and Efficient Blur Aware Local Feature Detector","created":"2022-11-27","cited_by_count":34},{"id":"2407.12582","title":"Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection","created":"2024-07-17","cited_by_count":28},{"id":"2412.06647","title":"Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset","created":"2024-12-09","cited_by_count":25},{"id":"2112.03423","title":"Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision","created":"2021-12-06","cited_by_count":22},{"id":"2403.15192","title":"SFOD: Spiking Fusion Object Detector","created":"2024-03-22","cited_by_count":20},{"id":"2407.11335","title":"LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction","created":"2024-07-16","cited_by_count":19},{"id":"2304.09793","title":"Event-based Simultaneous Localization and Mapping: A Comprehensive Survey","created":"2023-04-19","cited_by_count":17},{"id":"2207.02702","title":"Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation","created":"2022-07-06","cited_by_count":15},{"id":"2306.12010","title":"Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection","created":"2023-06-21","cited_by_count":15},{"id":"2312.10439","title":"Simple Image-level Classification Improves Open-vocabulary Object Detection","created":"2023-12-16","cited_by_count":15},{"id":"2405.09782","title":"Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection","created":"2024-05-16","cited_by_count":14},{"id":"2207.00208","title":"e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce","created":"2022-07-01","cited_by_count":10},{"id":"2404.05069","title":"AirShot: Efficient Few-Shot Detection for Autonomous Exploration","created":"2024-04-07","cited_by_count":10},{"id":"2402.01287","title":"Spiking CenterNet: A Distillation-boosted Spiking Neural Network for Object Detection","created":"2024-02-02","cited_by_count":8},{"id":"2410.02249","title":"Spiking Neural Network as Adaptive Event Stream Slicer","created":"2024-10-03","cited_by_count":8},{"id":"2409.16446","title":"Underground Mapping and Localization Based on Ground-Penetrating Radar","created":"2024-09-24","cited_by_count":5},{"id":"2508.08094","title":"3D Plant Root Skeleton Detection and Extraction","created":"2025-08-11","cited_by_count":5},{"id":"2405.03995","title":"Deep Event-based Object Detection in Autonomous Driving: A Survey","created":"2024-05-07","cited_by_count":4},{"id":"2503.08673","title":"Keypoint Detection and Description for Raw Bayer Images","created":"2025-03-11","cited_by_count":4},{"id":"2412.12525","title":"CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics","created":"2024-12-17","cited_by_count":3},{"id":"2407.08272","title":"PowerYOLO: Mixed Precision Model for Hardware Efficient Object Detection with Event Data","created":"2024-07-11","cited_by_count":2}],"next_cursor":null}