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 401–425 of 617 papers

Title	Date	Tasks	Status
Memory-efficient particle filter recurrent neural network for object localization	Oct 2, 2023	Object Localization	—Unverified
Weakly Supervised Object Localization With Progressive Domain Adaptation	Jun 1, 2016	ClassificationDomain Adaptation	—Unverified
Training object class detectors with click supervision	Apr 20, 2017	Multiple Instance LearningObject	—Unverified
Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation	Nov 17, 2019	ObjectObject Localization	—Unverified
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization	Apr 29, 2021	ObjectObject Localization	—Unverified
Counterfactual Co-occurring Learning for Bias Mitigation in Weakly-supervised Object Localization	May 24, 2023	Attributecounterfactual	—Unverified
ML-LocNet: Improving Object Localization with Multi-view Learning Network	Sep 1, 2018	MULTI-VIEW LEARNINGObject Localization	—Unverified
MOLTR: Multiple Object Localisation, Tracking, and Reconstruction from Monocular RGB Videos	Dec 9, 2020	BenchmarkingObject	—Unverified
MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval	Feb 18, 2025	Action RecognitionMoment Retrieval	—Unverified
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection	Aug 4, 2022	3D Object DetectionAutonomous Driving	—Unverified
Tree-Structured Reinforcement Learning for Sequential Object Localization	Mar 8, 2017	DiversityObject	—Unverified
Weakly Supervised Open-Vocabulary Object Detection	Dec 19, 2023	AttributeNovel Concepts	—Unverified
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues	Apr 8, 2024	3D Object DetectionAutonomous Driving	—Unverified
MOST: Multiple Object localization with Self-supervised Transformers for object discovery	Apr 11, 2023	Objectobject-detection	—Unverified
Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos	Jul 25, 2017	Graph MatchingObject	—Unverified
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression	Jul 14, 2023	Instance SegmentationObject	—Unverified
MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection	Jan 22, 2024	3D Object DetectionObject	—Unverified
Multi-Beam Object-Localization for Millimeter-Wave ISAC-Aided Connected Autonomous Vehicles	Aug 26, 2024	Autonomous VehiclesIntegrated sensing and communication	—Unverified
Two-Phase Learning for Weakly Supervised Object Localization	Aug 7, 2017	ObjectObject Localization	—Unverified
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning	Feb 26, 2018	ClusteringGeneral Classification	—Unverified
Multi-fold MIL Training for Weakly Supervised Object Localization	Jun 1, 2014	Multiple Instance LearningObject	—Unverified
Multimodal Query-guided Object Localization	Dec 1, 2022	ObjectObject Localization	—Unverified
Multi-Object Grounding via Hierarchical Contrastive Siamese Transformers	Apr 14, 2025	ObjectObject Localization	—Unverified
Multiparticle Kalman filter for object localization in symmetric environments	Mar 14, 2023	Object Localization	—Unverified
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization	Sep 24, 2019	Object LocalizationWeakly-Supervised Object Localization	—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