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Object Detection

Papers

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Showing 4751–4800 of 10957 papers

TitleStatusHype
Compressive Change Retrieval for Moving Object Detection—0
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment—0
Few-Shot Object Detection: Research Advances and Challenges—0
Few-shot Object Detection on Remote Sensing Images—0
Compressing Deep Convolutional Networks using Vector Quantization—0
A scene perception system for visually impaired based on object detection and classification using multi-modal DCNN—0
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network—0
A Comparative Review of Recent Few-Shot Object Detection Algorithms—0
Few-Shot Object Detection in Unseen Domains—0
Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest—0
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations—0
Few-Shot Object Detection by Attending to Per-Sample-Prototype—0
Few-Shot Object Detection: A Comprehensive Survey—0
Compressed Domain Image Classification Using a Dynamic-Rate Neural Network—0
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models—0
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices—0
When Few-Shot Learning Meets Video Object Detection—0
Few-Shot Learning for Road Object Detection—0
Few-Shot Domain Adaptive Object Detection for Microscopic Images—0
Few-shot Class-incremental Learning for Classification and Object Detection: A Survey—0
Comprehensive Performance Evaluation of YOLOv11, YOLOv10, YOLOv9, YOLOv8 and YOLOv5 on Object Detection of Power Equipment—0
Few-Shot Batch Incremental Road Object Detection via Detector Fusion—0
Few-shot Adaptive Object Detection with Cross-Domain CutMix—0
Few-shot Adaptive Faster R-CNN—0
Comprehensive Performance Evaluation of YOLO11, YOLOv10, YOLOv9 and YOLOv8 on Detecting and Counting Fruitlet in Complex Orchard Environments—0
A SAM-based Solution for Hierarchical Panoptic Segmentation of Crops and Weeds Competition—0
AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection—0
3D Object Detection Combining Semantic and Geometric Features from Point Clouds—0
Few-Shot Adaptation of Grounding DINO for Agricultural Domain—0
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation—0
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection—0
Compositional Mixture Representations for Vision and Text—0
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis—0
Compositional Embeddings: Joint Perception and Comparison of Class Label Sets—0
A Saliency Enhanced Feature Fusion based multiscale RGB-D Salient Object Detection Network—0
Aerial Vehicle Tracking by Adaptive Fusion of Hyperspectral Likelihood Maps—0
Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance—0
Compositional Embeddings for Multi-Label One-Shot Learning—0
Feedback RoI Features Improve Aerial Object Detection—0
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion—0
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs—0
Composite Binary Decomposition Networks—0
Component-wise Power Estimation of Electrical Devices Using Thermal Imaging—0
AR Visualization System for Ship Detection and Recognition Based on AI—0
Aerial multi-object tracking by detection using deep association networks—0
FEDORA: Flying Event Dataset fOr Reactive behAvior—0
Federated Object Detection for Quality Inspection in Shared Production—0
CompNet: A Designated Model to Handle Combinations of Images and Designed features—0
Federated Learning in Vehicular Networks—0
ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Co-DETRbox mAP66—Unverified
2InternImage-H (M3I Pre-training)box mAP65.5—Unverified
3M3I Pre-training (InternImage-H)box mAP65.4—Unverified
4MoCaEbox mAP65.1—Unverified
5Co-DETR (Swin-L)box mAP64.8—Unverified
6Focal-Stable-DINO (Focal-Huge, no TTA)box mAP64.8—Unverified
7EVAbox mAP64.7—Unverified
8Group DETR v2box mAP64.5—Unverified
9FocalNet-H (DINO)box mAP64.4—Unverified
10InternImage-XLbox mAP64.3—Unverified