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 276–300 of 617 papers

Title	Date	Tasks	Status
Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration	May 20, 2019	Objectobject-detection	—Unverified
Stimulating Imagination: Towards General-purpose Object Rearrangement	Aug 3, 2024	ObjectObject Localization	—Unverified
Embodied Visual Recognition	Apr 9, 2019	ObjectObject Localization	—Unverified
Embodied Amodal Recognition: Learning to Move to Perceive Objects	Oct 1, 2019	ObjectObject Localization	—Unverified
Active Object Localization in Visual Situations	Jul 2, 2016	Active Object LocalizationObject	—Unverified
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration	Mar 20, 2024	ClassificationObject	—Unverified
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement	Oct 21, 2023	Depth Estimationimage-classification	—Unverified
Attention-Aware Generative Adversarial Networks (ATA-GANs)	Feb 25, 2018	object-detectionObject Detection	—Unverified
Dual Normalization Multitasking for Audio-Visual Sounding Object Localization	Jun 1, 2021	ObjectObject Localization	—Unverified
Dual-attention Focused Module for Weakly Supervised Object Localization	Sep 11, 2019	ObjectObject Localization	—Unverified
Class Correlation affects Single Object Localization using Pre-trained ConvNets	Oct 26, 2017	ObjectObject Localization	—Unverified
A Systematic Study on Object Recognition Using Millimeter-wave Radar	May 3, 2023	ObjectObject Localization	—Unverified
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization	Apr 29, 2021	ObjectObject Localization	—Unverified
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression	Jul 14, 2023	Instance SegmentationObject	—Unverified
DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection	Nov 17, 2023	Classificationobject-detection	—Unverified
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration	Feb 23, 2025	3DGS3D Semantic Segmentation	—Unverified
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation	Nov 5, 2021	Graph LearningObject	—Unverified
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection	Apr 15, 2025	Computational EfficiencyDefect Detection	—Unverified
Maximum Cohesive Grid of Superpixels for Fast Object Localization	Jun 1, 2013	ObjectObject Localization	—Unverified
Domain Adaptation for Large-Vocabulary Object Detectors	Jan 13, 2024	Domain AdaptationKnowledge Graphs	—Unverified
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning	Sep 16, 2019	Diagnosticimage-classification	—Unverified
CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion	Jun 17, 2025	Object Localization	—Unverified
Diverse Instance Discovery: Vision-Transformer for Instance-Aware Multi-Label Image Recognition	Apr 22, 2022	Multi-Label Image RecognitionObject Localization	—Unverified
Associative embeddings for large-scale knowledge transfer with self-assessment	Dec 11, 2013	Gaussian ProcessesObject Localization	—Unverified
Max-Margin Structured Output Regression for Spatio-Temporal Action Localization	Dec 1, 2012	Action LocalizationObject 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