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 326–350 of 617 papers

Title	Date	Tasks	Status
Object Localization with a Weakly Supervised CapsNet	May 20, 2018	ObjectObject Localization	—Unverified
Object Localization and Size Estimation from RGB-D Images	Aug 2, 2018	ObjectObject Localization	—Unverified
Object Localization based on Structural SVM using Privileged Information	Dec 1, 2014	ObjectObject Localization	—Unverified
Object localization in ImageNet by looking out of the window	Jan 6, 2015	General ClassificationObject Localization	—Unverified
Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach	Mar 24, 2021	ObjectObject Localization	—Unverified
Object Localization under Single Coarse Point Supervision	Mar 17, 2022	Multiple Instance LearningObject	—Unverified
Object Pose Estimation Annotation Pipeline for Multi-view Monocular Camera Systems in Industrial Settings	Oct 23, 2023	ObjectObject Localization	—Unverified
Object Preserving Siamese Network for Single Object Tracking on Point Clouds	Jan 28, 2023	3D Single Object TrackingObject	—Unverified
ObjectRelator: Enabling Cross-View Object Relation Understanding in Ego-Centric and Exo-Centric Videos	Nov 28, 2024	ObjectObject Localization	—Unverified
Occlusion-Aware Object Localization, Segmentation and Pose Estimation	Jul 27, 2015	3D Pose EstimationObject	—Unverified
Weakly-supervised Salient Instance Detection	Sep 29, 2020	Boundary DetectionObject Localization	—Unverified
Offset Bin Classification Network for Accurate Object Detection	Jun 1, 2020	ClassificationGeneral Classification	—Unverified
Active Object Localization in Visual Situations	Jul 2, 2016	Active Object LocalizationObject	—Unverified
Zero-Aliasing Correlation Filters for Object Recognition	Nov 10, 2014	ObjectObject Localization	—Unverified
One-Shot Object Localization Using Learnt Visual Cues via Siamese Networks	Dec 26, 2020	ObjectObject Localization	—Unverified
One Size Doesn't Fit All: Adaptive Label Smoothing	Jan 1, 2021	AllObject	—Unverified
Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields	Jun 9, 2017	Data AugmentationObject Localization	—Unverified
Webly Supervised Concept Expansion for General Purpose Vision Models	Feb 4, 2022	Human-Object Interaction DetectionImage Retrieval	—Unverified
Open-Vocabulary Object Detection via Scene Graph Discovery	Jul 7, 2023	DecoderGraph Generation	—Unverified
ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models	Dec 5, 2023	DecoderGraph Matching	—Unverified
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels	Oct 16, 2020	Object LocalizationSegmentation	—Unverified
Optimal Weight Scheme for Fusion-Assisted Cooperative Multi-Monostatic Object Localization in 6G Networks	Aug 29, 2024	Object Localization	—Unverified
Optimizing Multi-Task Learning for Accurate Spacecraft Pose Estimation	Oct 16, 2024	Multi-Task LearningObject Localization	—Unverified
Oriented Feature Alignment for Fine-grained Object Recognition in High-Resolution Satellite Imagery	Oct 13, 2021	Objectobject-detection	—Unverified
P2P-Loc: Point to Point Tiny Person Localization	Dec 31, 2021	ObjectObject 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