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Object Detection
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation
MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection
Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object Detector
FALO: Fast and Accurate LiDAR 3D Object Detection on Resource-Constrained Devices
AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving
Probabilistic Online Event Downsampling
GeneA-SLAM2: Dynamic SLAM with AutoEncoder-Preprocessed Genetic Keypoints Resampling and Depth Variance-Guided Dynamic Region Removal
Simulate Any Radar: Attribute-Controllable Radar Simulation via Waveform Parameter Embedding
Structured Pruning and Quantization for Learned Image Compression
OD3: Optimization-free Dataset Distillation for Object Detection
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
A Compendium of Autonomous Navigation using Object Detection and Tracking in Unmanned Aerial Vehicles
Leadership Assessment in Pediatric Intensive Care Unit Team Training
Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing
TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images
WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver-Assistance Systems
CF-DETR: Coarse-to-Fine Transformer for Real-Time Object Detection
FMG-Det: Foundation Model Guided Robust Object Detection
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping
Conformal Object Detection by Sequential Risk Control
YH-MINER: Multimodal Intelligent System for Natural Ecological Reef Metric Extraction
Task-Driven Implicit Representations for Automated Design of LiDAR Systems
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond
The Meeseeks Mesh: Spatially Consistent 3D Adversarial Objects for BEV Detector
Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models
Active-O3: Empowering Multimodal Large Language Models with Active Perception via GRPO
ADD-SLAM: Adaptive Dynamic Dense SLAM with Gaussian Splatting
Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancement
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation
A Novel Shape-Aware Topological Representation for GPR Data with DNN Integration
VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling
Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer Assistance
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.