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Novel Object Detection

Novel Object Detection is a challenging task introduced by Fomenko et.al. in their paper "Learning to Discover and Detect Objects". The goal in this task is to measure mAP performance on known as well as novel classes, where the known classes correspond to the 80 COCO classes, and the novel classes are the remaining 1123 classes from LVIS dataset. Thus, during training the model can only be trained with annotations from COCO dataset, but during evaluation/inference it is expected to BOTH classify and detect objects belonging to ALL the classes in the LVIS dataset.

Papers

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Showing 1–50 of 53 papers

TitleStatusHype
Mamba YOLO: A Simple Baseline for Object Detection with State Space ModelCode4
Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detectionCode2
Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object DetectionCode2
Fine-Grained Prototypes Distillation for Few-Shot Object DetectionCode2
Enhancing Novel Object Detection via Cooperative Foundational ModelsCode1
DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object DetectionCode1
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event CameraCode1
DesCo: Learning Object Recognition with Rich Language DescriptionsCode1
Learning to Discover and Detect ObjectsCode1
Scaling Novel Object Detection with Weakly Supervised Detection TransformersCode1
A Unified Objective for Novel Class DiscoveryCode1
SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite ImageryCode1
Universal-Prototype Enhancing for Few-Shot Object DetectionCode1
Open-World Semi-Supervised LearningCode1
CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAsCode1
MambaNeXt-YOLO: A Hybrid State Space Model for Real-time Object Detection—0
Language-guided Learning for Object Detection Tackling Multiple Variations in Aerial Images—0
MASF-YOLO: An Improved YOLOv11 Network for Small Object Detection on Drone View—0
An object detection approach for lane change and overtake detection from motion profiles—0
Open-World Objectness Modeling Unifies Novel Object Detection—0
WoodYOLO: A Novel Object Detector for Wood Species Detection in Microscopic Images—0
FA-YOLO: Research On Efficient Feature Selection YOLO Improved Algorithm Based On FMDS and AGMF Modules—0
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection—0
Beyond the Benchmark: Detecting Diverse Anomalies in VideosCode0
Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection—0
PlantDet: A benchmark for Plant Detection in the Three-Rivers-Source Region—0
PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection—0
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving—0
Visual Understanding of Complex Table Structures from Document Images—0
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox DetectorCode0
Partially-Supervised Novel Object Captioning Leveraging Context from Paired Data—0
Instance Segmentation of Microscopic ForaminiferaCode0
Oriented Bounding Boxes for Small and Freely Rotated Objects—0
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision—0
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection—0
Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision—0
Any-Shot Object Detection—0
Automatic Signboard Detection and Localization in Densely Populated Developing CitiesCode0
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations—0
Learning to Detect and Retrieve Objects from Unlabeled VideosCode0
CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing ImageryCode0
ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features—0
Grid R-CNNCode0
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection—0
Object Detection based Deep Unsupervised Hashing—0
Deep Watershed Detector for Music Object Recognition—0
Deep Regionlets for Object Detection—0
CAD Priors for Accurate and Flexible Instance Reconstruction—0
Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop ObjectsCode0
Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection—0
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