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 126–150 of 617 papers

Title	Date	Tasks	Status	Hype	Score
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs	Nov 26, 2021	feature selectionImage Classification	CodeCode Available	1	5
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation	Sep 30, 2022	Inductive BiasObject	CodeCode Available	1	5
LocNet: Improving Localization Accuracy for Object Detection	Nov 24, 2015	Objectobject-detection	CodeCode Available	1	5
Distilling Knowledge from Refinement in Multiple Instance Detection Networks	Apr 23, 2020	Knowledge DistillationMultiple Instance Learning	CodeCode Available	1	5
Few-Shot Object Detection via Variational Feature Aggregation	Jan 31, 2023	Few-Shot Object DetectionMeta-Learning	CodeCode Available	1	5
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization	Mar 27, 2021	ObjectObject Localization	CodeCode Available	1	5
Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis	May 28, 2024	Object Localization	CodeCode Available	1	5
Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation	Dec 21, 2023	Edge DetectionFeature Engineering	CodeCode Available	1	5
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization	Mar 9, 2020	Object LocalizationWeakly-Supervised Object Localization	CodeCode Available	1	5
Grounding Everything: Emerging Localization Properties in Vision-Language Transformers	Dec 1, 2023	Image RetrievalObject Localization	CodeCode Available	1	5
Efficient Object Localization Using Convolutional Networks	Nov 16, 2014	ObjectObject Localization	CodeCode Available	1	5
Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors	Sep 9, 2019	Object LocalizationPrediction	CodeCode Available	1	5
EDN: Salient Object Detection via Extremely-Downsampled Network	Dec 24, 2020	DecoderObject	CodeCode Available	1	5
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation	Mar 23, 2021	3D Object DetectionMonocular 3D Object Detection	CodeCode Available	1	5
Egocentric Audio-Visual Object Localization	Mar 23, 2023	ObjectObject Localization	CodeCode Available	1	5
Microsoft COCO: Common Objects in Context	May 1, 2014	Instance SegmentationObject	CodeCode Available	1	5
DETReg: Unsupervised Pretraining with Region Priors for Object Detection	Jun 8, 2021	Few-Shot LearningFew-Shot Object Detection	CodeCode Available	1	5
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets	Jul 8, 2020	Few-Shot LearningModel Selection	CodeCode Available	1	5
Evaluating Weakly Supervised Object Localization Methods Right	Jan 21, 2020	Few-Shot LearningModel Selection	CodeCode Available	1	5
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective	Mar 11, 2024	Data AugmentationObject Localization	CodeCode Available	1	5
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation	Mar 6, 2022	ObjectObject Localization	CodeCode Available	1	5
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance	Dec 17, 2023	3D Instance Segmentation3D Open-Vocabulary Instance Segmentation	CodeCode Available	1	5
Object-Centric Multiple Object Tracking	Sep 1, 2023	Multiple Object TrackingObject	CodeCode Available	1	5
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching	Oct 12, 2020	ObjectObject Localization	CodeCode Available	1	5
RepPoints V2: Verification Meets Regression for Object Detection	Jul 16, 2020	Instance SegmentationObject	CodeCode Available	1	5

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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