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

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Showing 426–450 of 617 papers

Title	Date	Tasks	Status
Self-Taught Cross-Domain Few-Shot Learning with Weakly Supervised Object Localization and Task-Decomposition	Sep 3, 2021	Cross-Domain Few-Shotcross-domain few-shot learning	—Unverified
Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding	Mar 25, 2025	AttributeObject	—Unverified
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos	Jul 27, 2023	Autonomous DrivingObject	—Unverified
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View	Nov 15, 2020	Autonomous DrivingMonocular Reconstruction	—Unverified
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments	Jul 25, 2024	Object Localization	—Unverified
Modelling Lips-State Detection Using CNN for Non-Verbal Communications	Dec 9, 2021	License Plate DetectionLicense Plate Recognition	—Unverified
Self-taught Object Localization with Deep Networks	Sep 13, 2014	ClusteringObject	—Unverified
Self-Transfer Learning for Fully Weakly Supervised Object Localization	Feb 4, 2016	Medical Image AnalysisObject	—Unverified
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis	Mar 30, 2017	Instance SegmentationObject	—Unverified
A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data	Jan 16, 2020	Data VisualizationObject Localization	—Unverified
Boundary Distribution Estimation for Precise Object Detection	Nov 2, 2021	Objectobject-detection	—Unverified
Boundary Regularized Building Footprint Extraction From Satellite Images Using Deep Neural Network	Jun 23, 2020	Objectobject-detection	—Unverified
BOUNDARY REGULARIZED BUILDING FOOTPRINT EXTRACTION FROM SATELLITE IMAGES USING DEEP NEURAL NETWORKS	Jun 23, 2020	Objectobject-detection	—Unverified
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization	Apr 1, 2022	ObjectObject Localization	—Unverified
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization	Sep 4, 2023	ObjectObject Localization	—Unverified
CaFT: Clustering and Filter on Tokens of Transformer for Weakly Supervised Object Localization	Jan 3, 2022	ClusteringObject	—Unverified
Calibrating Uncertainties in Object Localization Task	Nov 27, 2018	Autonomous DrivingDecision Making	—Unverified
Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting	Mar 22, 2024	Instance SegmentationObject Localization	—Unverified
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform	Nov 10, 2015	Edge DetectionImage Segmentation	—Unverified
Category-aware Allocation Transformer for Weakly Supervised Object Localization	Jan 1, 2023	ObjectObject Localization	—Unverified
CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion	Jun 17, 2025	Object Localization	—Unverified
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning	Sep 16, 2019	Diagnosticimage-classification	—Unverified
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection	Apr 15, 2025	Computational EfficiencyDefect Detection	—Unverified
Semantic Segmentation with Boundary Neural Fields	Nov 9, 2015	Boundary Detectionglobal-optimization	—Unverified
Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty	Dec 6, 2022	ClassificationContrastive Learning	—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