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	Hype
Parts-Based Articulated Object Localization in Clutter Using Belief Propagation	Aug 6, 2020	ObjectObject Localization	—Unverified	0
Entropy Guided Adversarial Model for Weakly Supervised Object Localization	Aug 4, 2020	ObjectObject Localization	—Unverified	0
Rethinking Class Activation Mapping for Weakly Supervised Object Localization	Aug 1, 2020	ObjectObject Localization	CodeCode Available	1
Eigen-CAM: Class Activation Map using Principal Components	Aug 1, 2020	Object LocalizationWeakly-Supervised Object Localization	CodeCode Available	1
Object-Aware Centroid Voting for Monocular 3D Object Detection	Jul 20, 2020	3D Object DetectionDepth Estimation	—Unverified	0
A Generic Visualization Approach for Convolutional Neural Networks	Jul 19, 2020	ClassificationGeneral Classification	CodeCode Available	1
Geometry Constrained Weakly Supervised Object Localization	Jul 19, 2020	ObjectObject Localization	CodeCode Available	1
RepPoints V2: Verification Meets Regression for Object Detection	Jul 16, 2020	Instance SegmentationObject	CodeCode Available	1
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters	Jul 16, 2020	Object Localization	CodeCode Available	1
Cross-Modal Weighting Network for RGB-D Salient Object Detection	Jul 9, 2020	object-detectionObject Detection	CodeCode Available	1
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets	Jul 8, 2020	Few-Shot LearningModel Selection	CodeCode Available	1
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation	Jul 3, 2020	ObjectObject Localization	CodeCode Available	1
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates	Jul 2, 2020	Deep AttentionImage Segmentation	CodeCode Available	1
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time	Jun 29, 2020	Monocular 3D Object LocalizationObject	CodeCode Available	1
BOUNDARY REGULARIZED BUILDING FOOTPRINT EXTRACTION FROM SATELLITE IMAGES USING DEEP NEURAL NETWORKS	Jun 23, 2020	Objectobject-detection	—Unverified	0
Boundary Regularized Building Footprint Extraction From Satellite Images Using Deep Neural Network	Jun 23, 2020	Objectobject-detection	—Unverified	0
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps	Jun 9, 2020	ObjectObject Localization	CodeCode Available	0
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization	Jun 1, 2020	ClassificationGeneral Classification	—Unverified	0
Offset Bin Classification Network for Accurate Object Detection	Jun 1, 2020	ClassificationGeneral Classification	—Unverified	0
Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network	Apr 30, 2020	Objectobject-detection	—Unverified	0
Distilling Knowledge from Refinement in Multiple Instance Detection Networks	Apr 23, 2020	Knowledge DistillationMultiple Instance Learning	CodeCode Available	1
Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos	Apr 1, 2020	Objectobject-detection	—Unverified	0
How spatial frequencies and color drive object search in real-world scenes: A new eye-movement corpus	Mar 20, 2020	ObjectObject Localization	—Unverified	0
Rethinking Object Detection in Retail Stores	Mar 18, 2020	Objectobject-detection	CodeCode Available	0
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization	Mar 18, 2020	Object LocalizationTransfer Learning	CodeCode Available	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