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
MinMaxCAM: Improving object coverage for CAM-basedWeakly Supervised Object Localization	Apr 29, 2021	ObjectObject Localization	—Unverified
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation	Apr 22, 2021	Clusteringobject-detection	—Unverified
Weakly Supervised Object Localization and Detection: A Survey	Apr 16, 2021	ObjectObject Localization	—Unverified
Fine-Grained Attention for Weakly Supervised Object Localization	Apr 11, 2021	ObjectObject Localization	—Unverified
Weakly-supervised Instance Segmentation via Class-agnostic Learning with Salient Images	Apr 4, 2021	Box-supervised Instance SegmentationInstance Segmentation	CodeCode Available
DAP: Detection-Aware Pre-training with Weak Supervision	Mar 30, 2021	ClassificationGeneral Classification	CodeCode Available
Few-shot Weakly-Supervised Object Detection via Directional Statistics	Mar 25, 2021	Multiple Instance LearningObject	—Unverified
Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach	Mar 24, 2021	ObjectObject Localization	—Unverified
Learning from Counting: Leveraging Temporal Classification for Weakly Supervised Object Localization and Detection	Mar 6, 2021	General ClassificationObject	—Unverified
Weakly-supervised multi-class object localization using only object counts as labels	Feb 23, 2021	ObjectObject Localization	—Unverified
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations	Feb 21, 2021	Decision MakingObject Localization	—Unverified
Learning task-agnostic representation via toddler-inspired learning	Jan 27, 2021	image-classificationImage Classification	—Unverified
Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation	Jan 22, 2021	Image SegmentationObject	CodeCode Available
Focal and Efficient IOU Loss for Accurate Bounding Box Regression	Jan 20, 2021	object-detectionObject Detection	CodeCode Available
Foreground Activation Maps for Weakly Supervised Object Localization	Jan 1, 2021	ClassificationObject	—Unverified
One Size Doesn't Fit All: Adaptive Label Smoothing	Jan 1, 2021	AllObject	—Unverified
GridMix: Strong regularization through local context mapping	Jan 1, 2021	Adversarial RobustnessData Augmentation	—Unverified
One-Shot Object Localization Using Learnt Visual Cues via Siamese Networks	Dec 26, 2020	ObjectObject Localization	—Unverified
R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection	Dec 10, 2020	3D Object DetectionData Augmentation	—Unverified
MOLTR: Multiple Object Localisation, Tracking, and Reconstruction from Monocular RGB Videos	Dec 9, 2020	BenchmarkingObject	—Unverified
Video Anomaly Detection by Estimating Likelihood of Representations	Dec 2, 2020	Action RecognitionAnomaly Detection	CodeCode Available
Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization	Nov 16, 2020	Autonomous DrivingGraph Learning	—Unverified
Hierarchical Complementary Learning for Weakly Supervised Object Localization	Nov 16, 2020	ObjectObject Localization	—Unverified
BirdSLAM: Monocular Multibody SLAM in Bird's-Eye View	Nov 15, 2020	Autonomous DrivingMonocular Reconstruction	—Unverified
Self-Supervised Learning for Biological Sample Localization in 3D Tomographic Images	Nov 6, 2020	Computed Tomography (CT)Object 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