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 251–275 of 617 papers

Title	Date	Tasks	Status	Hype
I see what you hear: a vision-inspired method to localize words	Oct 24, 2022	Objectobject-detection	—Unverified	0
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)	Oct 24, 2022	Objectobject-detection	CodeCode Available	1
Perceptual Grouping in Contrastive Vision-Language Models	Oct 18, 2022	Object LocalizationRepresentation Learning	CodeCode Available	1
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection	Oct 11, 2022	Objectobject-detection	CodeCode Available	1
Does Thermal Really Always Matter for RGB-T Salient Object Detection?	Oct 9, 2022	object-detectionObject Detection	CodeCode Available	0
Contrastive Corpus Attribution for Explaining Representations	Sep 30, 2022	Contrastive LearningObject Localization	CodeCode Available	0
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation	Sep 30, 2022	Inductive BiasObject	CodeCode Available	1
Scale-Invariant Fast Functional Registration	Sep 26, 2022	Object Localization	CodeCode Available	1
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields	Sep 24, 2022	NeRFObject Localization	—Unverified	0
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos	Sep 16, 2022	Anomaly DetectionObject	CodeCode Available	1
Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking	Sep 14, 2022	Object LocalizationObject Tracking	—Unverified	0
Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization	Sep 9, 2022	ObjectObject Localization	—Unverified	0
Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization	Sep 9, 2022	ObjectObject Localization	—Unverified	0
Progressive Domain Adaptation with Contrastive Learning for Object Detection in the Satellite Imagery	Sep 6, 2022	Contrastive LearningDomain Adaptation	—Unverified	0
Geometry Aligned Variational Transformer for Image-conditioned Layout Generation	Sep 2, 2022	Layout DesignLayout Generation	—Unverified	0
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos	Aug 30, 2022	ObjectObject Localization	CodeCode Available	0
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision	Aug 17, 2022	ObjectObject Localization	—Unverified	0
Object Detection with Deep Reinforcement Learning	Aug 9, 2022	Active Object LocalizationDeep Reinforcement Learning	CodeCode Available	1
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection	Aug 4, 2022	3D Object DetectionAutonomous Driving	—Unverified	0
Re-Attention Transformer for Weakly Supervised Object Localization	Aug 3, 2022	ObjectObject Localization	CodeCode Available	1
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration	Jul 21, 2022	Long-range modelingObject	CodeCode Available	1
On Label Granularity and Object Localization	Jul 20, 2022	ObjectObject Localization	CodeCode Available	1
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization	Jul 16, 2022	ObjectObject Localization	CodeCode Available	1
Finding Fallen Objects Via Asynchronous Audio-Visual Integration	Jul 7, 2022	Imitation LearningObject	—Unverified	0
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras	Jun 20, 2022	Autonomous DrivingEdge-computing	—Unverified	0

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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