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 76–100 of 617 papers

Title	Date	Tasks	Status	Hype
MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation	Nov 25, 2022	DecoderObject Localization	CodeCode Available	1
Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric	Nov 20, 2022	Object LocalizationObject Tracking	CodeCode Available	1
A Low-Shot Object Counting Network With Iterative Prototype Adaptation	Nov 15, 2022	Exemplar-Free CountingObject	CodeCode Available	1
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
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
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos	Sep 16, 2022	Anomaly DetectionObject	CodeCode Available	1
Object Detection with Deep Reinforcement Learning	Aug 9, 2022	Active Object LocalizationDeep Reinforcement Learning	CodeCode Available	1
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
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping	May 27, 2022	ClusteringObject	CodeCode Available	1
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search	May 19, 2022	Decision MakingImage Captioning	CodeCode Available	1
GRIT: General Robust Image Task Benchmark	Apr 28, 2022	Instance SegmentationKeypoint Detection	CodeCode Available	1
ViTOL: Vision Transformer for Weakly Supervised Object Localization	Apr 14, 2022	image-classificationImage Classification	CodeCode Available	1
Total Variation Optimization Layers for Computer Vision	Apr 7, 2022	DenoisingEdge Detection	CodeCode Available	1
HINT: Hierarchical Neuron Concept Explainer	Mar 27, 2022	Object LocalizationWeakly-Supervised Object Localization	CodeCode Available	1
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation	Mar 20, 2022	image-classificationImage Classification	CodeCode Available	1
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation	Mar 6, 2022	ObjectObject Localization	CodeCode Available	1
Weakly Supervised Object Localization as Domain Adaption	Mar 3, 2022	ClassificationDomain Adaptation	CodeCode Available	1
Class-aware Sounding Objects Localization via Audiovisual Correspondence	Dec 22, 2021	Objectobject-detection	CodeCode Available	1
ScanQA: 3D Question Answering for Spatial Scene Understanding	Dec 20, 2021	3D Question Answering (3D-QA)Object	CodeCode Available	1

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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