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
RREx-BoT: Remote Referring Expressions with a Bag of Tricks	Jan 30, 2023	ObjectObject Localization	—Unverified
Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network	Apr 30, 2020	Objectobject-detection	—Unverified
SANeRF-HQ: Segment Anything for NeRF in High Quality	Dec 3, 2023	NeRFNovel View Synthesis	—Unverified
Weakly Supervised Localization Using Background Images	Sep 9, 2019	ObjectObject Localization	—Unverified
Weakly Supervised Localization using Deep Feature Maps	Mar 1, 2016	General ClassificationObject	—Unverified
SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding	Dec 5, 2024	3D visual groundingObject Localization	—Unverified
An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection	Feb 13, 2023	object-detectionObject Detection	—Unverified
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI	Nov 27, 2023	3D Semantic Segmentationobject-detection	—Unverified
Seeing with Humans: Gaze-Assisted Neural Image Captioning	Aug 18, 2016	Image CaptioningObject	—Unverified
A Non-Technical Survey on Deep Convolutional Neural Network Architectures	Mar 6, 2018	image-classificationImage Classification	—Unverified
A Model Generalization Study in Localizing Indoor Cows with COw LOcalization (COLO) dataset	Jul 29, 2024	Data AugmentationObject Localization	—Unverified
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization	Apr 11, 2022	Adversarial AttackObject	—Unverified
Associative embeddings for large-scale knowledge transfer with self-assessment	Dec 11, 2013	Gaussian ProcessesObject Localization	—Unverified
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation	Nov 5, 2021	Graph LearningObject	—Unverified
A Systematic Study on Object Recognition Using Millimeter-wave Radar	May 3, 2023	ObjectObject Localization	—Unverified
Attention-Aware Generative Adversarial Networks (ATA-GANs)	Feb 25, 2018	object-detectionObject Detection	—Unverified
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model	Nov 22, 2016	ObjectObject Discovery	—Unverified
Automatic Construction of Real-World Datasets for 3D Object Localization using Two Cameras	Jul 10, 2017	General ClassificationObject	—Unverified
Autonomous Marker-less Rapid Aerial Grasping	Nov 23, 2022	ObjectObject Localization	—Unverified
Auto-Prompting SAM for Weakly Supervised Landslide Extraction	Jan 23, 2025	Landslide segmentationObject Localization	—Unverified
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features	Jan 7, 2025	3D Object DetectionComputational Efficiency	—Unverified
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation	May 3, 2023	DecoderObject Localization	—Unverified
Self-Paced Learning for Latent Variable Models	Dec 1, 2010	Handwritten Digit RecognitionObject Localization	—Unverified
Self-Supervised Learning for Biological Sample Localization in 3D Tomographic Images	Nov 6, 2020	Computed Tomography (CT)Object Localization	—Unverified
Self-supervised Moving Vehicle Tracking with Stereo Sound	Oct 25, 2019	Object Localizationvehicle detection	—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