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Object Detection

Papers

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Showing 8001–8050 of 10957 papers

TitleStatusHype
Report on UG^2+ Challenge Track 1: Assessing Algorithms to Improve Video Object Detection and Classification from Unconstrained Mobility Platforms—0
RE-POSE: Synergizing Reinforcement Learning-Based Partitioning and Offloading for Edge Object Detection—0
Counting people from above: Airborne video based crowd analysis—0
A Survey on Patch-based Synthesis: GPU Implementation and Optimization—0
GLID: Pre-training a Generalist Encoder-Decoder Vision Model—0
Representation Disparity-aware Distillation for 3D Object Detection—0
Gliding vertex on the horizontal bounding box for multi-oriented object detection—0
Representation Similarity: A Better Guidance of DNN Layer Sharing for Edge Computing without Training—0
Representative Graph Neural Network—0
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images—0
Joint Counting, Detection and Re-Identification for Multi-Object Tracking—0
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning—0
REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs—0
Re-ranking Object Proposals for Object Detection in Automatic Driving—0
Counting Fish with Temporal Representations of Sonar Video—0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank—0
GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection—0
A Hierarchical Graph Network for 3D Object Detection on Point Clouds—0
Research on an Autonomous UAV Search and Rescue System Based on the Improved—0
Research on dynamic target detection and tracking system of hexapod robot—0
Research on road object detection algorithm based on improved YOLOX—0
Research Progress of Convolutional Neural Network and its Application in Object Detection—0
Glasses Detection Using Convolutional Neural Networks—0
A Survey on Object Detection in Optical Remote Sensing Images—0
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness—0
Residual Bi-Fusion Feature Pyramid Network for Accurate Single-shot Object Detection—0
Could Giant Pretrained Image Models Extract Universal Representations?—0
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection—0
Few-Shot Object Detection in Unseen Domains—0
Resisting Crowd Occlusion and Hard Negatives for Pedestrian Detection in the Wild—0
GhostNetV3: Exploring the Training Strategies for Compact Models—0
COTR: Convolution in Transformer Network for End to End Polyp Detection—0
Few-Shot Object Detection: Research Advances and Challenges—0
Resolving Class Imbalance in Object Detection with Weighted Cross Entropy Losses—0
GFreeDet: Exploiting Gaussian Splatting and Foundation Models for Model-free Unseen Object Detection in the BOP Challenge 2024—0
Co-training for On-board Deep Object Detection—0
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality—0
Resource-constrained FPGA Design for Satellite Component Feature Extraction—0
A Survey on Mamba Architecture for Vision Applications—0
A Comprehensive Survey on Hardware-Aware Neural Architecture Search—0
Response-based Distillation for Incremental Object Detection—0
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images—0
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition—0
Get In Video: Add Anything You Want to the Video—0
Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches—0
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images—0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection—0
A Survey on Machine Learning Techniques for Auto Labeling of Video, Audio, and Text Data—0
A Survey on Joint Object Detection and Pose Estimation using Monocular Vision—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