Papers with Code 아카이브
Object Detection
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
RICCARDO: Radar Hit Prediction and Convolution for Camera-Radar 3D Object Detection
RT-DATR:Real-time Unsupervised Domain Adaptive Detection Transformer with Adversarial Feature Learning
High Dynamic Range Modulo Imaging for Robust Object Detection in Autonomous Driving
WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer
RASMD: RGB And SWIR Multispectral Driving Dataset for Robust Perception in Adverse Conditions
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
Adaptive Detection of Fast Moving Celestial Objects Using a Mixture of Experts and Physical-Inspired Neural Network
Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement
P2Object: Single Point Supervised Object Detection and Instance Segmentation
Pychop: Emulating Low-Precision Arithmetic in Numerical Methods and Neural Networks
Detect Anything 3D in the Wild
Multi-Task Learning with Multi-Annotation Triplet Loss for Improved Object Detection
MultiCore+TPU Accelerated Multi-Modal TinyML for Livestock Behaviour Recognition
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
Multi-Object Tracking for Collision Avoidance Using Multiple Cameras in Open RAN Networks
Few-Shot Adaptation of Grounding DINO for Agricultural Domain
KAN-SAM: Kolmogorov-Arnold Network Guided Segment Anything Model for RGB-T Salient Object Detection
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation
PRIMEDrive-CoT: A Precognitive Chain-of-Thought Framework for Uncertainty-Aware Object Interaction in Driving Scene Scenario
From Broadcast to Minimap: Achieving State-of-the-Art SoccerNet Game State Reconstruction
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection
Playing Non-Embedded Card-Based Games with Reinforcement Learning
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection
EMF: Event Meta Formers for Event-based Real-time Traffic Object Detection
Digital Gene: Learning about the Physical World through Analytic Concepts
Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications
Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion
ZFusion: An Effective Fuser of Camera and 4D Radar for 3D Object Perception in Autonomous Driving
PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector
TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
SemiISP/SemiIE: Semi-Supervised Image Signal Processor and Image Enhancement Leveraging One-to-Many Mapping sRGB-to-RAW
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.