Object Localization

Object Localization is the task of locating an instance of a particular object category in an image, typically by specifying a tightly cropped bounding box centered on the instance. An object proposal specifies a candidate bounding box, and an object proposal is said to be a correct localization if it sufficiently overlaps a human-labeled “ground-truth” bounding box for the given object. In the literature, the “Object Localization” task is to locate one instance of an object category, whereas “object detection” focuses on locating all instances of a category in a given image.

Source: Fast On-Line Kernel Density Estimation for Active Object Localization

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 376–400 of 617 papers

Title	Date	Tasks	Status
Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch	Mar 15, 2023	Objectobject-detection	—Unverified
RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base	Jun 23, 2025	6D Pose EstimationObject Localization	—Unverified
R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection	Dec 10, 2020	3D Object DetectionData Augmentation	—Unverified
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization	Aug 9, 2023	Medical Image AnalysisObject Localization	—Unverified
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras	Jun 20, 2022	Autonomous DrivingEdge-computing	—Unverified
Real-world Instance-specific Image Goal Navigation: Bridging Domain Gaps via Contrastive Learning	Apr 15, 2024	Contrastive LearningDeblurring	—Unverified
Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks	Jul 18, 2024	Hallucinationobject-detection	—Unverified
Visual-Linguistic Agent: Towards Collaborative Contextual Object Reasoning	Nov 15, 2024	DescriptiveObject	—Unverified
Visually Guided Spatial Relation Extraction from Text	Jun 1, 2018	Activity RecognitionImage Captioning	—Unverified
Deep Learning Methods and Applications for Region of Interest Detection in Dermoscopic Images	Jul 27, 2018	Data Augmentationobject-detection	—Unverified
RELOCATE: A Simple Training-Free Baseline for Visual Query Localization Using Region-Based Representations	Dec 2, 2024	Object Localization	—Unverified
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D Point Clouds	Jul 21, 2017	ClassificationDeep Reinforcement Learning	—Unverified
Visuomotor Control in Multi-Object Scenes Using Object-Aware Representations	May 12, 2022	ObjectObject Localization	—Unverified
Why is plausibility surprisingly problematic as an XAI criterion?	Mar 30, 2023	Explainable artificial intelligenceExplainable Artificial Intelligence (XAI)	—Unverified
Rethinking the Localization in Weakly Supervised Object Localization	Aug 11, 2023	ObjectObject Localization	—Unverified
VoteSplat: Hough Voting Gaussian Splatting for 3D Scene Understanding	Jun 28, 2025	3DGSInstance Segmentation	—Unverified
Foveated Retinotopy Improves Classification and Localization in CNNs	Feb 23, 2024	ClassificationImage Categorization	—Unverified
WoMAP: World Models For Embodied Open-Vocabulary Object Localization	Jun 2, 2025	Active Object LocalizationEfficient Exploration	—Unverified
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation	Jun 1, 2018	ClassificationGeneral Classification	—Unverified
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation	May 11, 2018	ObjectObject Localization	—Unverified
1-HKUST: Object Detection in ILSVRC 2014	Sep 22, 2014	Objectobject-detection	—Unverified
3D-Aware Object Localization using Gaussian Implicit Occupancy Function	Mar 3, 2023	ObjectObject Localization	—Unverified
Weakly Supervised Foreground Learning for Weakly Supervised Localization and Detection	Aug 3, 2021	Object LocalizationWeakly-Supervised Object Localization	—Unverified
Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving	Jun 1, 2014	Autonomous DrivingObject	—Unverified
ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images	Mar 31, 2014	3D ReconstructionDistributed Optimization	—Unverified

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All datasets REVERIE KITTI Cars Easy KITTI Pedestrians Hard KITTI Pedestrians Moderate KITTI Cars Hard KITTI Cyclists Easy KITTI Cyclists Moderate KITTI Pedestrians Easy GRIT KITTI Cyclists Hard IllusionVQA KITTI Cars Moderate

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	OSMaN	RGSPL	32.99	—	Unverified
2	SUSA	RGSPL	27.31	—	Unverified
3	Shanks	RGSPL	22.85	—	Unverified
4	CVPR22	RGSPL	22.06	—	Unverified
5	damm1	RGSPL	15.96	—	Unverified
6	1637	RGSPL	14.03	—	Unverified
7	init. PREVALENT	RGSPL	13.51	—	Unverified
8	Airbert	RGSPL	13.28	—	Unverified
9	init. OSCAR	RGSPL	10	—	Unverified
10	SIA	RGSPL	9.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VoxelNet	AP	89.35	—	Unverified
2	VoxelNet	AP	89.35	—	Unverified
3	Frustum PointNets	AP	88.7	—	Unverified
4	Frustum PointNets	AP	81.2	—	Unverified
5	VoxelNet	AP	77.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustrum-PointPillars	AP	48.3	—	Unverified
2	Frustum PointNets	AP	47.2	—	Unverified
3	Frustum PointNets	AP	40.23	—	Unverified
4	VoxelNet	AP	38.11	—	Unverified
5	VoxelNet	AP	31.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustrum-PointPillars	AP	52.23	—	Unverified
2	Frustum PointNets	AP	50.22	—	Unverified
3	Frustum PointNets	AP	42.15	—	Unverified
4	VoxelNet	AP	40.74	—	Unverified
5	VoxelNet	AP	33.69	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VoxelNet	AP	77.39	—	Unverified
2	Frustum PointNets	AP	75.33	—	Unverified
3	Frustum PointNets	AP	62.19	—	Unverified
4	VoxelNet	AP	57.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	75.38	—	Unverified
2	Frustum PointNets	AP	71.96	—	Unverified
3	VoxelNet	AP	66.7	—	Unverified
4	VoxelNet	AP	61.22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	61.96	—	Unverified
2	Frustum PointNets	AP	56.77	—	Unverified
3	VoxelNet	AP	54.76	—	Unverified
4	VoxelNet	AP	48.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	58.09	—	Unverified
2	Frustum PointNets	AP	51.21	—	Unverified
3	VoxelNet	AP	46.13	—	Unverified
4	VoxelNet	AP	39.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Unified-IOXL	Localization (ablation)	67	—	Unverified
2	GPV-2	Localization (ablation)	53.6	—	Unverified
3	Mask R-CNN	Localization (ablation)	44.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	54.68	—	Unverified
2	VoxelNe	AP	50.55	—	Unverified
3	Frustum PointNets	AP	50.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT4-Vision 4-shot+CoT	Accuracy	49.7	—	Unverified
2	Gemini-Pro 4-shot+CoT	Accuracy	33.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustum PointNets	AP	84	—	Unverified
2	VoxelNet	AP	79.26	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Frustrum-PointPillars	AP	60.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hausdorff Loss	Precision	88.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ours	CorLoc	41.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ours	CorLoc	47.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hausdorff Loss	F-Score	88.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Hausdorff Loss	Recall	89.2	—	Unverified