Object Detection

Object detection, a core computer vision task, aims to identify and locate objects within images or videos. Current research emphasizes improving accuracy and efficiency across diverse scenarios, focusing on architectures like YOLO and DETR, and exploring techniques such as multimodal fusion, attention mechanisms, and loss function refinements to handle challenges like small object detection, adverse weather conditions, and limited labeled data. These advancements have significant implications for applications ranging from autonomous driving and robotics to medical image analysis and remote sensing, driving progress in both theoretical understanding and practical deployment of object detection systems.

Papers

July 30, 2023

Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
Yang Lou, Qun Song, Qian Xu, Rui Tan, Jianping Wang
Autonomous Driving Object Detection Multi Modal Fusion LiDAR Camera Fusion Robust Object Detection Modal Uncertainty

July 29, 2023

Enhancing Object Detection in Ancient Documents with Synthetic Data Generation and Transformer-Based Models
Zahra Ziran, Francesco Leotta, Massimo Mecella
Object Detection Transformer Based Model Synthetic Data Generation

July 26, 2023

Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Cameras
Kamil Jeziorek, Andrea Pinna, Tomasz Kryjak
Convolutional Neural Network Data Detection Object Detection Event Camera Graph Convolution Object Classification High Temporal Resolution

July 20, 2023

July 17, 2023

Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime
Pierre Le Jeune, Anissa Mokraoui
Object Detection Intersection Scenario Small Object Detection Chaotic Regime Small Object Intersection Identification

July 14, 2023

Deteksi Sampah di Permukaan dan Dalam Perairan pada Objek Video dengan Metode Robust and Efficient Post-Processing dan Tubelet-Level Bounding Box Linking
Bryan Tjandra, Made S. N. Negara, Nyoo S. C. Handoko
Object Detection Bounding Box Post Processing Video Object Detection Microplastics Data Robust Method Video Object Recycling Bin

July 13, 2023

Multimodal Object Detection in Remote Sensing
Abdelbadie Belmouhcine, Jean-Christophe Burnel, Luc Courtrai, Minh-Tan Pham, Sébastien Lefèvre
Object Detection Remote Sensing Multimodal Dataset Multimodal Data Fusion

July 4, 2023

July 1, 2023

Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection
Yifan Zhang, Zhiyu Zhu, Junhui Hou, Dapeng Wu
Object Detection Graph Attention Temporal Transformer Information Redundancy Detection Transformer Frame 3D Object Detection

June 30, 2023

June 29, 2023

June 25, 2023

Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection
Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, Liu Ren
Object Detection Hierarchical Representation Unknown Object Open World Object Unknown Detection

June 21, 2023

Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection
Jinye Qu, Zeyu Gao, Tielin Zhang, Yanfeng Lu, Huajin Tang, Hong Qiao
Object Detection Spiking Neural Network Low Latency Deep Learning Based Object Spiking Element Wise SNN Conversion

Object Detection

Papers

Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving

Enhancing Object Detection in Ancient Documents with Synthetic Data Generation and Transformer-Based Models

Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Cameras

Cascade-DETR: Delving into High-Quality Universal Object Detection

PE-YOLO: Pyramid Enhancement Network for Dark Object Detection

Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime

Deteksi Sampah di Permukaan dan Dalam Perairan pada Objek Video dengan Metode Robust and Efficient Post-Processing dan Tubelet-Level Bounding Box Linking

Multimodal Object Detection in Remote Sensing

MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds

SUIT: Learning Significance-guided Information for 3D Temporal Detection

SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection

IAdet: Simplest human-in-the-loop object detection

Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection

Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection

Federated Ensemble YOLOv5 -- A Better Generalized Object Detection Algorithm

Federated Object Detection for Quality Inspection in Shared Production

MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion

Metric-aligned Sample Selection and Critical Feature Sampling for Oriented Object Detection

Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection

Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection