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← Learning Types
Deep Learning
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Learning Types
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Object Detection
55 papers
Papers per year
2016: 1
1
2017: 2
2
2018: 6
6
2019: 8
8
2020: 8
8
2021: 6
6
2022: 4
4
2023: 5
5
2024: 9
9
2025: 3
3
2026: 3
3
Papers
nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection
MIDL 2026
Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection
MIDL 2026
Detection versus Instance Segmentation for Multi-Species Malaria Diagnosis: A Head-to-Head Comparison and Multi-Dataset Validation of YOLOv12 Architectures with Small Object Optimization
MIDL 2026
PCA-YOLO: A Small Liver Tumor Detection Model with Patch-Contrastive Attention
MIDL 2025
Style-Aligned Image Composition for Robust Detection of Abnormal Cells in Cytopathology
MIDL 2025
Enhancing Wrist Fracture Detection through LLM-Powered Data Extraction and Knowledge-Based Ensemble Learning
MIDL 2025
MultiOrg: A Multi-rater Organoid-detection Dataset
NIPS 2024
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving
AAAI 2024
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes
AAAI 2024
eTraM: Event-based Traffic Monitoring Dataset
CVPR 2024
DETRs Beat YOLOs on Real-time Object Detection
CVPR 2024
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
CVPR 2024
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection
CVPR 2024
WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification
CVPR 2024
EASE-DETR: Easing the Competition among Object Queries
CVPR 2024
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
CVPR 2023
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
CVPR 2023
Dense Distinct Query for End-to-End Object Detection
CVPR 2023
NeRF-RPN: A General Framework for Object Detection in NeRFs
CVPR 2023
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors
CVPR 2023
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition
NIPS 2022
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds
AAAI 2022
MogFace: Towards a Deeper Appreciation on Face Detection
CVPR 2022
Rethinking Efficient Lane Detection via Curve Modeling
CVPR 2022
Progressive Coordinate Transforms for Monocular 3D Object Detection
NIPS 2021
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