Papers with Code 아카이브
Object Detection
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance
Beyond General Prompts: Automated Prompt Refinement using Contrastive Class Alignment Scores for Disambiguating Objects in Vision-Language Models
DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection
MoRAL: Motion-aware Multi-Frame 4D Radar and LiDAR Fusion for Robust 3D Object Detection
Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking
MoKD: Multi-Task Optimization for Knowledge Distillation
Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix
HMPNet: A Feature Aggregation Architecture for Maritime Object Detection from a Shipborne Perspective
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
Language-Driven Dual Style Mixing for Single-Domain Generalized Object Detection
DepthFusion: Depth-Aware Hybrid Feature Fusion for LiDAR-Camera 3D Object Detection
Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving
Differentiable NMS via Sinkhorn Matching for End-to-End Fabric Defect Detection
METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection
Underwater object detection in sonar imagery with detection transformer and Zero-shot neural architecture search
M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark
DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer
Dome-DETR: DETR with Density-Oriented Feature-Query Manipulation for Efficient Tiny Object Detection
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model
A Simple Detector with Frame Dynamics is a Strong Tracker
FG-CLIP: Fine-Grained Visual and Textual Alignment
PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
An Edge AI Solution for Space Object Detection
DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception
MonoCoP: Chain-of-Prediction for Monocular 3D Object Detection
Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer
Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspective
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis
RGBX-DiffusionDet: A Framework for Multi-Modal RGB-X Object Detection Using DiffusionDet
DPNet: Dynamic Pooling Network for Tiny Object Detection
Sim2Real Transfer for Vision-Based Grasp Verification
Toward Onboard AI-Enabled Solutions to Space Object Detection for Space Sustainability
DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.